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За одну генерацию — два варианта трека.",[11],[75],"39.00","suno/v5","39.000000",{"id":292,"code_name":293,"readable_name":294,"provider":295,"description":296,"input_content_types":297,"output_content_types":298,"image_prompt_text":15,"image_url":15,"prompt_token_cost":299,"completion_token_cost":51,"created_at":300,"updated_at":300,"min_balance":19,"is_active":20,"is_guest_allowed":21,"api_provider":22,"api_model_id":293,"image_generation_cost":23,"web_search_cost":301,"reasoning_token_cost":23,"request_cost":23,"is_starter":21,"image_capabilities":15,"video_capabilities":15,"is_active_for_session":21},"331285e6-072b-44a6-9dc5-6d5f6c2c73b0","x-ai/grok-4.5","xAI: Grok 4.5","x-ai","Grok 4.5 is SpaceXAI's smartest model with frontier performance on coding, knowledge work, and STEM.",[11,12,13],[11],320,"2026-07-31T16:57:34.239Z","0.800000",{"id":303,"code_name":304,"readable_name":305,"provider":306,"description":307,"input_content_types":308,"output_content_types":309,"image_prompt_text":15,"image_url":15,"prompt_token_cost":16,"completion_token_cost":310,"created_at":311,"updated_at":18,"min_balance":19,"is_active":20,"is_guest_allowed":21,"api_provider":22,"api_model_id":304,"image_generation_cost":23,"web_search_cost":24,"reasoning_token_cost":23,"request_cost":23,"is_starter":21,"image_capabilities":15,"video_capabilities":15,"is_active_for_session":21},"7f6c2cba-2903-4e4b-a3e4-a4054cd5d55c","anthropic/claude-opus-5","Claude Opus 5","anthropic","Старшая модель Anthropic: самые сложные задачи, длинные тексты и код, внимательная работа с деталями.",[11,12,13],[11],4000,"2026-07-31T16:31:09.130Z",{"id":313,"code_name":314,"readable_name":315,"provider":306,"description":316,"input_content_types":317,"output_content_types":318,"image_prompt_text":15,"image_url":15,"prompt_token_cost":299,"completion_token_cost":319,"created_at":320,"updated_at":18,"min_balance":19,"is_active":20,"is_guest_allowed":21,"api_provider":22,"api_model_id":314,"image_generation_cost":23,"web_search_cost":24,"reasoning_token_cost":23,"request_cost":23,"is_starter":21,"image_capabilities":15,"video_capabilities":15,"is_active_for_session":21},"2d6447a3-f778-4693-81d6-9cf31383c8e8","anthropic/claude-sonnet-5","Claude Sonnet 5","Рабочая модель Anthropic последнего поколения: живые тексты, аккуратные рассуждения, работа с фото и документами.",[11,12,13],[11],1600,"2026-07-31T16:29:49.196Z",{"id":322,"code_name":323,"readable_name":324,"provider":306,"description":325,"input_content_types":326,"output_content_types":327,"image_prompt_text":15,"image_url":15,"prompt_token_cost":16,"completion_token_cost":310,"created_at":328,"updated_at":328,"min_balance":19,"is_active":20,"is_guest_allowed":21,"api_provider":22,"api_model_id":323,"image_generation_cost":23,"web_search_cost":24,"reasoning_token_cost":23,"request_cost":23,"is_starter":21,"image_capabilities":15,"video_capabilities":15,"is_active_for_session":21},"3d6860e4-274a-4e71-88c0-a422cbcb4024","anthropic/claude-opus-4.8","Anthropic: Claude Opus 4.8","Claude Opus 4.8 is Anthropic's most capable generally available model in the Opus family. It supports text, image, and file inputs with text output, with reasoning support and a 1M-token...",[11,12,13],[11],"2026-07-31T16:29:49.186Z",{"id":330,"code_name":331,"readable_name":332,"provider":306,"description":333,"input_content_types":334,"output_content_types":335,"image_prompt_text":15,"image_url":15,"prompt_token_cost":319,"completion_token_cost":336,"created_at":337,"updated_at":337,"min_balance":19,"is_active":20,"is_guest_allowed":21,"api_provider":22,"api_model_id":331,"image_generation_cost":23,"web_search_cost":24,"reasoning_token_cost":23,"request_cost":23,"is_starter":21,"image_capabilities":15,"video_capabilities":15,"is_active_for_session":21},"f3626dad-07b1-49aa-acc6-68cb66db7cdb","anthropic/claude-fable-5","Anthropic: Claude Fable 5","Claude Fable 5 is a Mythos-class model from Anthropic, built for autonomous knowledge work and coding. It supports text, image, and file inputs with text output, with reasoning support and...",[11,12,13],[11],8000,"2026-07-31T16:29:49.168Z",{"id":339,"code_name":340,"readable_name":341,"provider":342,"description":343,"input_content_types":344,"output_content_types":345,"image_prompt_text":15,"image_url":15,"prompt_token_cost":16,"completion_token_cost":17,"created_at":346,"updated_at":346,"min_balance":19,"is_active":20,"is_guest_allowed":21,"api_provider":22,"api_model_id":340,"image_generation_cost":23,"web_search_cost":24,"reasoning_token_cost":23,"request_cost":23,"is_starter":21,"image_capabilities":15,"video_capabilities":15,"is_active_for_session":21},"e04608ee-4293-40c5-afa0-ae0663d6bd35","~openai/gpt-latest","OpenAI GPT Latest","~openai","This model always redirects to the latest model in the OpenAI GPT family.",[11,12,13],[11],"2026-06-12T18:14:36.783Z",{"id":348,"code_name":349,"readable_name":350,"provider":351,"description":352,"input_content_types":353,"output_content_types":354,"image_prompt_text":15,"image_url":15,"prompt_token_cost":299,"completion_token_cost":355,"created_at":356,"updated_at":356,"min_balance":19,"is_active":20,"is_guest_allowed":21,"api_provider":22,"api_model_id":349,"image_generation_cost":357,"web_search_cost":79,"reasoning_token_cost":358,"request_cost":23,"is_starter":21,"image_capabilities":15,"video_capabilities":15,"is_active_for_session":21},"8748da2c-2bbf-4759-9126-a884cb1ee4d7","~google/gemini-pro-latest","Google Gemini Pro Latest","~google","This model always redirects to the latest model in the Google Gemini Pro family.",[11,12,13,75,74],[11],1920,"2026-06-12T18:14:36.771Z","0.000320","1920.000000",{"id":360,"code_name":361,"readable_name":362,"provider":363,"description":364,"input_content_types":365,"output_content_types":366,"image_prompt_text":15,"image_url":15,"prompt_token_cost":319,"completion_token_cost":336,"created_at":367,"updated_at":367,"min_balance":19,"is_active":20,"is_guest_allowed":21,"api_provider":22,"api_model_id":361,"image_generation_cost":23,"web_search_cost":24,"reasoning_token_cost":23,"request_cost":23,"is_starter":21,"image_capabilities":15,"video_capabilities":15,"is_active_for_session":21},"22acd2d0-23a1-45f1-a721-694a9b1eb229","~anthropic/claude-fable-latest","Anthropic: Claude Fable Latest","~anthropic","This model always redirects to the latest model in the Claude Fable family.",[11,12,13],[11],"2026-06-12T18:11:46.175Z",{"id":369,"code_name":370,"readable_name":371,"provider":363,"description":372,"input_content_types":373,"output_content_types":374,"image_prompt_text":15,"image_url":15,"prompt_token_cost":16,"completion_token_cost":310,"created_at":375,"updated_at":375,"min_balance":19,"is_active":20,"is_guest_allowed":21,"api_provider":22,"api_model_id":370,"image_generation_cost":23,"web_search_cost":24,"reasoning_token_cost":23,"request_cost":23,"is_starter":21,"image_capabilities":15,"video_capabilities":15,"is_active_for_session":21},"661fc06d-0a51-490c-aa4b-9ea97218f0e1","~anthropic/claude-opus-latest","Anthropic: Claude Opus Latest","This model always redirects to the latest model in the Claude Opus family.",[11,12,13],[11],"2026-06-12T18:11:46.165Z",{"id":377,"code_name":378,"readable_name":379,"provider":8,"description":380,"input_content_types":381,"output_content_types":382,"image_prompt_text":15,"image_url":15,"prompt_token_cost":16,"completion_token_cost":17,"created_at":383,"updated_at":383,"min_balance":19,"is_active":20,"is_guest_allowed":21,"api_provider":22,"api_model_id":378,"image_generation_cost":23,"web_search_cost":24,"reasoning_token_cost":23,"request_cost":23,"is_starter":21,"image_capabilities":15,"video_capabilities":15,"is_active_for_session":21},"fae84bce-fff3-4816-b18e-8eee60cbc460","openai/gpt-5.5","OpenAI: GPT-5.5","GPT-5.5 is OpenAI’s frontier model designed for complex professional workloads, building on GPT-5.4 with stronger reasoning, higher reliability, and improved token efficiency on hard tasks. It features a 1M+ token...",[11,12,13],[11],"2026-05-02T06:38:12.464Z",{"id":385,"code_name":386,"readable_name":387,"provider":8,"description":388,"input_content_types":389,"output_content_types":390,"image_prompt_text":15,"image_url":15,"prompt_token_cost":391,"completion_token_cost":392,"created_at":393,"updated_at":393,"min_balance":19,"is_active":20,"is_guest_allowed":21,"api_provider":22,"api_model_id":386,"image_generation_cost":23,"web_search_cost":24,"reasoning_token_cost":23,"request_cost":23,"is_starter":21,"image_capabilities":15,"video_capabilities":15,"is_active_for_session":21},"2fcfaaba-7f86-48f3-b760-2a5cf3c79a22","openai/gpt-5.4-mini","OpenAI: GPT-5.4 Mini","GPT-5.4 mini brings the core capabilities of GPT-5.4 to a faster, more efficient model optimized for high-throughput workloads. It supports text and image inputs with strong performance across reasoning, coding,...",[11,12,13],[11],120,720,"2026-05-02T06:38:12.457Z",{"id":395,"code_name":396,"readable_name":397,"provider":154,"description":398,"input_content_types":399,"output_content_types":400,"image_prompt_text":15,"image_url":15,"prompt_token_cost":33,"completion_token_cost":33,"created_at":401,"updated_at":401,"min_balance":19,"is_active":20,"is_guest_allowed":21,"api_provider":34,"api_model_id":396,"image_generation_cost":61,"web_search_cost":23,"reasoning_token_cost":23,"request_cost":23,"is_starter":21,"image_capabilities":402,"video_capabilities":15,"is_active_for_session":21},"942bdcba-470c-4e69-b228-4939bc99d839","gpt-image-2","GPT Image 2","Новая версия GPT Image, более качественная. Доступна только через GPTProto.",[11,12],[12],"2026-05-02T03:53:17.198Z",{"aspectRatios":403,"defaultAspectRatio":218,"resolutions":406,"defaultResolution":408,"qualities":413,"defaultQuality":415,"supportsGoogleSearch":21,"basePriceRub":409,"priceMatrix":427,"outputSizes":432},[218,404,405],"2:3","3:2",[407,410],{"value":408,"label":408,"priceRub":409},"1K",9,{"value":411,"label":411,"priceRub":412},"2K",21,[414,417,421,425],{"value":415,"label":416,"priceRub":409},"low","Low",{"value":418,"label":419,"priceRub":420},"medium","Medium",30,{"value":422,"label":423,"priceRub":424},"high","High",89,{"value":39,"label":426,"priceRub":420},"Auto",{"1K":428,"2K":429},{"low":409,"medium":420,"auto":420,"high":424},{"low":412,"medium":430,"auto":430,"high":431},32,97,{"1K":433,"2K":437},{"1:1":434,"2:3":435,"3:2":436},"1024x1024","1024x1536","1536x1024",{"1:1":438,"2:3":439,"3:2":440},"2048x2048","2048x3072","3072x2048",{"id":442,"code_name":443,"readable_name":444,"provider":71,"description":445,"input_content_types":446,"output_content_types":447,"image_prompt_text":15,"image_url":15,"prompt_token_cost":33,"completion_token_cost":33,"created_at":448,"updated_at":449,"min_balance":19,"is_active":20,"is_guest_allowed":21,"api_provider":22,"api_model_id":443,"image_generation_cost":450,"web_search_cost":23,"reasoning_token_cost":23,"request_cost":23,"is_starter":21,"image_capabilities":451,"video_capabilities":15,"is_active_for_session":21},"9b2c702c-8f43-4318-87a3-a8ff106ee469","google/gemini-3.1-flash-image-preview","Google: Nano Banana 2 (Gemini 3.1 Flash Image Preview)","Gemini 3.1 Flash Image Preview, a.k.a. \"Nano Banana 2,\" is Google’s latest state of the art image generation and editing model, delivering Pro-level visual quality at Flash speed. It combines advanced contextual understanding with fast, cost-efficient inference, making complex image generation and iterative edits significantly more accessible. Aspect ratios can be controlled with the [image_config API Parameter](https://openrouter.ai/docs/features/multimodal/image-generation#image-aspect-ratio-configuration)",[11,12],[11,12],"2026-03-01T05:51:03.805Z","2026-03-01T05:51:36.303Z","19.000000",{"aspectRatios":452,"defaultAspectRatio":218,"resolutions":455,"defaultResolution":408,"qualities":458,"defaultQuality":15,"supportsGoogleSearch":20,"basePriceRub":457},[218,404,405,261,260,453,454,96,95,262],"4:5","5:4",[456],{"value":408,"label":408,"priceRub":457},19,[],{"id":460,"code_name":461,"readable_name":462,"provider":71,"description":463,"input_content_types":464,"output_content_types":465,"image_prompt_text":15,"image_url":15,"prompt_token_cost":299,"completion_token_cost":355,"created_at":466,"updated_at":466,"min_balance":19,"is_active":20,"is_guest_allowed":21,"api_provider":22,"api_model_id":461,"image_generation_cost":357,"web_search_cost":23,"reasoning_token_cost":358,"request_cost":23,"is_starter":21,"image_capabilities":15,"video_capabilities":15,"is_active_for_session":21},"6c5af269-894e-4b22-8e1d-f983b463ba14","google/gemini-3.1-pro-preview","Google: Gemini 3.1 Pro Preview","Gemini 3.1 Pro Preview is Google’s frontier reasoning model, delivering enhanced software engineering performance, improved agentic reliability, and more efficient token usage across complex workflows. Building on the multimodal foundation of the Gemini 3 series, it combines high-precision reasoning across text, image, video, audio, and code with a 1M-token context window. Reasoning Details must be preserved when using multi-turn tool calling, see our docs here: https://openrouter.ai/docs/use-cases/reasoning-tokens#preserving-reasoning. The 3.1 update introduces measurable gains in SWE benchmarks and real-world coding environments, along with stronger autonomous task execution in structured domains such as finance and spreadsheet-based workflows.\n\nDesigned for advanced development and agentic systems, Gemini 3.1 Pro Preview improves long-horizon stability and tool orchestration while increasing token efficiency. It introduces a new medium thinking level to better balance cost, speed, and performance. The model excels in agentic coding, structured planning, multimodal analysis, and workflow automation, making it well-suited for autonomous agents, financial modeling, spreadsheet automation, and high-context enterprise tasks.",[11,12,13,75,74],[11],"2026-02-22T06:40:06.060Z",{"id":468,"code_name":469,"readable_name":470,"provider":8,"description":471,"input_content_types":472,"output_content_types":473,"image_prompt_text":15,"image_url":15,"prompt_token_cost":33,"completion_token_cost":33,"created_at":474,"updated_at":474,"min_balance":19,"is_active":20,"is_guest_allowed":20,"api_provider":90,"api_model_id":15,"image_generation_cost":475,"web_search_cost":23,"reasoning_token_cost":23,"request_cost":23,"is_starter":21,"image_capabilities":476,"video_capabilities":15,"is_active_for_session":21},"b990819b-07c0-4d7b-9ed8-4b9489e2c798","gpt-image-1.5-plus","GPT image 1.5 plus","",[11,12],[12],"2026-02-07T18:52:11.325Z","30.000000",{"aspectRatios":477,"defaultAspectRatio":218,"resolutions":478,"defaultResolution":15,"qualities":479,"defaultQuality":15,"supportsGoogleSearch":21,"basePriceRub":420},[218,404,405,261,260,453,454,96,95,262],[],[],{"id":481,"code_name":482,"readable_name":483,"provider":484,"description":471,"input_content_types":485,"output_content_types":486,"image_prompt_text":15,"image_url":15,"prompt_token_cost":33,"completion_token_cost":33,"created_at":487,"updated_at":487,"min_balance":19,"is_active":20,"is_guest_allowed":21,"api_provider":22,"api_model_id":482,"image_generation_cost":488,"web_search_cost":23,"reasoning_token_cost":23,"request_cost":23,"is_starter":21,"image_capabilities":489,"video_capabilities":15,"is_active_for_session":21},"0879e403-17c0-428b-b9e5-82636b9bb545","black-forest-labs/flux.2-klein-4b","Flux.2 klein","black Forest",[11,12],[12],"2026-01-24T08:57:41.886Z","2.500000",{"aspectRatios":490,"defaultAspectRatio":218,"resolutions":491,"defaultResolution":15,"qualities":492,"defaultQuality":15,"supportsGoogleSearch":21,"basePriceRub":493},[218,404,405,261,260,453,454,96,95,262],[],[],2.5,{"id":495,"code_name":496,"readable_name":497,"provider":71,"description":498,"input_content_types":499,"output_content_types":500,"image_prompt_text":15,"image_url":15,"prompt_token_cost":299,"completion_token_cost":355,"created_at":501,"updated_at":502,"min_balance":19,"is_active":20,"is_guest_allowed":21,"api_provider":22,"api_model_id":496,"image_generation_cost":503,"web_search_cost":23,"reasoning_token_cost":23,"request_cost":23,"is_starter":21,"image_capabilities":504,"video_capabilities":15,"is_active_for_session":21},"60f35a9a-9dea-41dd-9019-8a5f93c8ac24","google/gemini-3-pro-image-preview","Google: Nano Banana Pro (Gemini 3 Pro Image Preview)","Nano Banana Pro is Google’s most advanced image-generation and editing model, built on Gemini 3 Pro. It extends the original Nano Banana with significantly improved multimodal reasoning, real-world grounding, and high-fidelity visual synthesis. The model generates context-rich graphics, from infographics and diagrams to cinematic composites, and can incorporate real-time information via Search grounding.\r\n\r\nIt offers industry-leading text rendering in images (including long passages and multilingual layouts), consistent multi-image blending, and accurate identity preservation across up to five subjects. Nano Banana Pro adds fine-grained creative controls such as localized edits, lighting and focus adjustments, camera transformations, and support for 2K/4K outputs and flexible aspect ratios. It is designed for professional-grade design, product visualization, storyboarding, and complex multi-element compositions while remaining efficient for general image creation workflows.",[11,12],[11,12],"2026-01-20T13:57:23.551Z","2026-01-20T13:58:00.676Z","23.000000",{"aspectRatios":505,"defaultAspectRatio":39,"resolutions":506,"defaultResolution":408,"qualities":513,"defaultQuality":15,"supportsGoogleSearch":20,"basePriceRub":508},[39,218,404,405,261,260,453,454,96,95,262],[507,509,510],{"value":408,"label":408,"priceRub":508},23,{"value":411,"label":411,"priceRub":508},{"value":511,"label":511,"priceRub":512},"4K",49,[],{"id":515,"code_name":516,"readable_name":517,"provider":518,"description":519,"input_content_types":520,"output_content_types":521,"image_prompt_text":15,"image_url":15,"prompt_token_cost":522,"completion_token_cost":523,"created_at":524,"updated_at":525,"min_balance":19,"is_active":20,"is_guest_allowed":21,"api_provider":22,"api_model_id":516,"image_generation_cost":23,"web_search_cost":23,"reasoning_token_cost":23,"request_cost":23,"is_starter":21,"image_capabilities":15,"video_capabilities":15,"is_active_for_session":21},"af556103-47cd-4489-b4bb-4c83a59daada","deepseek/deepseek-r1-0528-qwen3-8b","DeepSeek: DeepSeek R1 0528 Qwen3 8B","deepseek","DeepSeek-R1-0528 is a lightly upgraded release of DeepSeek R1 that taps more compute and smarter post-training tricks, pushing its reasoning and inference to the brink of flagship models like O3 and Gemini 2.5 Pro.\nIt now tops math, programming, and logic leaderboards, showcasing a step-change in depth-of-thought.\nThe distilled variant, DeepSeek-R1-0528-Qwen3-8B, transfers this chain-of-thought into an 8 B-parameter form, beating standard Qwen3 8B by +10 pp and tying the 235 B “thinking” giant on AIME 2024.",[11],[11],9.6,14.4,"2026-01-14T11:10:24.234Z","2026-01-14T11:12:32.866Z",{"id":527,"code_name":528,"readable_name":529,"provider":530,"description":531,"input_content_types":532,"output_content_types":533,"image_prompt_text":15,"image_url":15,"prompt_token_cost":33,"completion_token_cost":33,"created_at":534,"updated_at":535,"min_balance":19,"is_active":20,"is_guest_allowed":21,"api_provider":22,"api_model_id":528,"image_generation_cost":23,"web_search_cost":23,"reasoning_token_cost":23,"request_cost":23,"is_starter":21,"image_capabilities":15,"video_capabilities":15,"is_active_for_session":21},"346cb713-2808-45fe-bb6b-e10c50892b3b","mistralai/devstral-2512:free","Mistral: Devstral 2 2512 (free)","mistralai","Devstral 2 is a state-of-the-art open-source model by Mistral AI specializing in agentic coding. It is a 123B-parameter dense transformer model supporting a 256K context window.\n\nDevstral 2 supports exploring codebases and orchestrating changes across multiple files while maintaining architecture-level context. It tracks framework dependencies, detects failures, and retries with corrections—solving challenges like bug fixing and modernizing legacy systems. The model can be fine-tuned to prioritize specific languages or optimize for large enterprise codebases. It is available under a modified MIT license.",[11],[11],"2026-01-11T07:12:09.699Z","2026-01-13T15:07:20.181Z",{"id":537,"code_name":538,"readable_name":539,"provider":540,"description":541,"input_content_types":542,"output_content_types":543,"image_prompt_text":15,"image_url":15,"prompt_token_cost":33,"completion_token_cost":33,"created_at":544,"updated_at":545,"min_balance":19,"is_active":20,"is_guest_allowed":21,"api_provider":22,"api_model_id":538,"image_generation_cost":23,"web_search_cost":23,"reasoning_token_cost":23,"request_cost":23,"is_starter":20,"image_capabilities":15,"video_capabilities":15,"is_active_for_session":21},"0aa2d57d-9715-4359-bf39-c074d99b74d2","xiaomi/mimo-v2-flash:free","Xiaomi: MiMo-V2-Flash (free)","xiaomi","MiMo-V2-Flash is an open-source foundation language model developed by Xiaomi. It is a Mixture-of-Experts model with 309B total parameters and 15B active parameters, adopting hybrid attention architecture. MiMo-V2-Flash supports a hybrid-thinking toggle and a 256K context window, and excels at reasoning, coding, and agent scenarios. On SWE-bench Verified and SWE-bench Multilingual, MiMo-V2-Flash ranks as the top #1 open-source model globally, delivering performance comparable to Claude Sonnet 4.5 while costing only about 3.5% as much.\n\nNote: when integrating with agentic tools such as Claude Code, Cline, or Roo Code, **turn off reasoning mode** for the best and fastest performance—this model is deeply optimized for this scenario.\n\nUsers can control the reasoning behaviour with the `reasoning` `enabled` boolean. [Learn more in our docs](https://openrouter.ai/docs/use-cases/reasoning-tokens#enable-reasoning-with-default-config).",[11],[11],"2026-01-11T07:12:09.694Z","2026-01-11T07:14:43.783Z",{"id":547,"code_name":548,"readable_name":549,"provider":295,"description":550,"input_content_types":551,"output_content_types":552,"image_prompt_text":15,"image_url":15,"prompt_token_cost":430,"completion_token_cost":553,"created_at":554,"updated_at":555,"min_balance":19,"is_active":20,"is_guest_allowed":21,"api_provider":22,"api_model_id":548,"image_generation_cost":23,"web_search_cost":23,"reasoning_token_cost":23,"request_cost":23,"is_starter":21,"image_capabilities":15,"video_capabilities":15,"is_active_for_session":21},"31596cef-4deb-4241-a8c4-93a8b2e7ea65","x-ai/grok-code-fast-1","xAI: Grok Code Fast 1","Grok Code Fast 1 is a speedy and economical reasoning model that excels at agentic coding. With reasoning traces visible in the response, developers can steer Grok Code for high-quality work flows.",[11],[11],240,"2025-12-25T10:37:19.158Z","2026-01-09T13:29:08.255Z",{"id":557,"code_name":558,"readable_name":559,"provider":295,"description":560,"input_content_types":561,"output_content_types":562,"image_prompt_text":15,"image_url":15,"prompt_token_cost":430,"completion_token_cost":563,"created_at":564,"updated_at":565,"min_balance":19,"is_active":20,"is_guest_allowed":21,"api_provider":22,"api_model_id":558,"image_generation_cost":23,"web_search_cost":23,"reasoning_token_cost":23,"request_cost":23,"is_starter":21,"image_capabilities":15,"video_capabilities":15,"is_active_for_session":21},"bbe393e2-5394-468a-8f95-1866d09ccdb2","x-ai/grok-4.1-fast","xAI: Grok 4.1 Fast","Grok 4.1 Fast is xAI's best agentic tool calling model that shines in real-world use cases like customer support and deep research. 2M context window.\n\nReasoning can be enabled/disabled using the `reasoning` `enabled` parameter in the API. [Learn more in our docs](https://openrouter.ai/docs/use-cases/reasoning-tokens#controlling-reasoning-tokens)",[11,12],[11],80,"2025-12-25T10:37:19.152Z","2026-01-09T13:29:08.250Z",{"id":567,"code_name":568,"readable_name":569,"provider":295,"description":570,"input_content_types":571,"output_content_types":572,"image_prompt_text":15,"image_url":15,"prompt_token_cost":430,"completion_token_cost":563,"created_at":573,"updated_at":574,"min_balance":19,"is_active":20,"is_guest_allowed":21,"api_provider":22,"api_model_id":568,"image_generation_cost":23,"web_search_cost":23,"reasoning_token_cost":23,"request_cost":23,"is_starter":20,"image_capabilities":15,"video_capabilities":15,"is_active_for_session":21},"c9f89690-4795-4526-8273-5ccfa3d9d50e","x-ai/grok-4-fast","xAI: Grok 4 Fast","Grok 4 Fast is xAI's latest multimodal model with SOTA cost-efficiency and a 2M token context window. It comes in two flavors: non-reasoning and reasoning. Read more about the model on xAI's [news post](http://x.ai/news/grok-4-fast).\n\nReasoning can be enabled/disabled using the `reasoning` `enabled` parameter in the API. [Learn more in our docs](https://openrouter.ai/docs/use-cases/reasoning-tokens#controlling-reasoning-tokens)",[11,12],[11],"2025-12-25T10:37:19.146Z","2026-01-09T13:29:08.245Z",{"id":576,"code_name":577,"readable_name":578,"provider":295,"description":579,"input_content_types":580,"output_content_types":581,"image_prompt_text":15,"image_url":15,"prompt_token_cost":582,"completion_token_cost":583,"created_at":584,"updated_at":585,"min_balance":19,"is_active":20,"is_guest_allowed":21,"api_provider":22,"api_model_id":577,"image_generation_cost":23,"web_search_cost":23,"reasoning_token_cost":23,"request_cost":23,"is_starter":20,"image_capabilities":15,"video_capabilities":15,"is_active_for_session":21},"4373d37f-50d1-4194-b219-cd774bb8b8f2","x-ai/grok-4","xAI: Grok 4","Grok 4 is xAI's latest reasoning model with a 256k context window. It supports parallel tool calling, structured outputs, and both image and text inputs. Note that reasoning is not exposed, reasoning cannot be disabled, and the reasoning effort cannot be specified. Pricing increases once the total tokens in a given request is greater than 128k tokens. See more details on the [xAI docs](https://docs.x.ai/docs/models/grok-4-0709)",[11,12],[11],480,2400,"2025-12-25T10:37:19.139Z","2026-01-09T13:29:08.240Z",{"id":587,"code_name":588,"readable_name":589,"provider":295,"description":590,"input_content_types":591,"output_content_types":592,"image_prompt_text":15,"image_url":15,"prompt_token_cost":77,"completion_token_cost":563,"created_at":593,"updated_at":594,"min_balance":19,"is_active":20,"is_guest_allowed":21,"api_provider":22,"api_model_id":588,"image_generation_cost":23,"web_search_cost":23,"reasoning_token_cost":23,"request_cost":23,"is_starter":21,"image_capabilities":15,"video_capabilities":15,"is_active_for_session":21},"709dbf41-91e3-4431-a030-63e1c2cde52c","x-ai/grok-3-mini","xAI: Grok 3 Mini","A lightweight model that thinks before responding. Fast, smart, and great for logic-based tasks that do not require deep domain knowledge. The raw thinking traces are accessible.",[11],[11],"2025-12-25T10:37:19.134Z","2026-01-09T13:29:08.233Z",{"id":596,"code_name":597,"readable_name":598,"provider":295,"description":599,"input_content_types":600,"output_content_types":601,"image_prompt_text":15,"image_url":15,"prompt_token_cost":582,"completion_token_cost":583,"created_at":602,"updated_at":603,"min_balance":19,"is_active":20,"is_guest_allowed":21,"api_provider":22,"api_model_id":597,"image_generation_cost":23,"web_search_cost":23,"reasoning_token_cost":23,"request_cost":23,"is_starter":21,"image_capabilities":15,"video_capabilities":15,"is_active_for_session":21},"a1e0be12-0001-48a5-8456-e065f771d436","x-ai/grok-3","xAI: Grok 3","Grok 3 is the latest model from xAI. It's their flagship model that excels at enterprise use cases like data extraction, coding, and text summarization. Possesses deep domain knowledge in finance, healthcare, law, and science.\n\n",[11],[11],"2025-12-25T10:37:19.128Z","2026-01-09T13:29:08.228Z",{"id":605,"code_name":606,"readable_name":607,"provider":306,"description":608,"input_content_types":609,"output_content_types":610,"image_prompt_text":15,"image_url":15,"prompt_token_cost":582,"completion_token_cost":583,"created_at":611,"updated_at":612,"min_balance":19,"is_active":20,"is_guest_allowed":21,"api_provider":22,"api_model_id":606,"image_generation_cost":23,"web_search_cost":23,"reasoning_token_cost":23,"request_cost":23,"is_starter":21,"image_capabilities":15,"video_capabilities":15,"is_active_for_session":21},"f08c9327-3faf-4845-8ed7-a086dba3a30e","anthropic/claude-sonnet-4","Anthropic: Claude Sonnet 4","Claude Sonnet 4 significantly enhances the capabilities of its predecessor, Sonnet 3.7, excelling in both coding and reasoning tasks with improved precision and controllability. Achieving state-of-the-art performance on SWE-bench (72.7%), Sonnet 4 balances capability and computational efficiency, making it suitable for a broad range of applications from routine coding tasks to complex software development projects. Key enhancements include improved autonomous codebase navigation, reduced error rates in agent-driven workflows, and increased reliability in following intricate instructions. Sonnet 4 is optimized for practical everyday use, providing advanced reasoning capabilities while maintaining efficiency and responsiveness in diverse internal and external scenarios.\n\nRead more at the [blog post here](https://www.anthropic.com/news/claude-4)",[11,12],[11],"2025-12-25T10:36:55.929Z","2026-01-09T13:29:07.987Z",{"id":614,"code_name":615,"readable_name":616,"provider":306,"description":617,"input_content_types":618,"output_content_types":619,"image_prompt_text":15,"image_url":15,"prompt_token_cost":50,"completion_token_cost":16,"created_at":620,"updated_at":621,"min_balance":19,"is_active":20,"is_guest_allowed":21,"api_provider":22,"api_model_id":615,"image_generation_cost":23,"web_search_cost":23,"reasoning_token_cost":23,"request_cost":23,"is_starter":21,"image_capabilities":15,"video_capabilities":15,"is_active_for_session":21},"6471d030-7c72-445c-9cc5-90f2316a22ee","anthropic/claude-haiku-4.5","Anthropic: Claude Haiku 4.5","Claude Haiku 4.5 is Anthropic’s fastest and most efficient model, delivering near-frontier intelligence at a fraction of the cost and latency of larger Claude models. Matching Claude Sonnet 4’s performance across reasoning, coding, and computer-use tasks, Haiku 4.5 brings frontier-level capability to real-time and high-volume applications.\n\nIt introduces extended thinking to the Haiku line; enabling controllable reasoning depth, summarized or interleaved thought output, and tool-assisted workflows with full support for coding, bash, web search, and computer-use tools. Scoring >73% on SWE-bench Verified, Haiku 4.5 ranks among the world’s best coding models while maintaining exceptional responsiveness for sub-agents, parallelized execution, and scaled deployment.",[11,12],[11],"2025-12-25T10:36:55.926Z","2026-01-09T13:29:07.956Z",{"id":623,"code_name":624,"readable_name":625,"provider":306,"description":626,"input_content_types":627,"output_content_types":628,"image_prompt_text":15,"image_url":15,"prompt_token_cost":583,"completion_token_cost":629,"created_at":630,"updated_at":631,"min_balance":19,"is_active":20,"is_guest_allowed":21,"api_provider":22,"api_model_id":624,"image_generation_cost":23,"web_search_cost":23,"reasoning_token_cost":23,"request_cost":23,"is_starter":21,"image_capabilities":15,"video_capabilities":15,"is_active_for_session":21},"2c964561-732f-49ba-931b-d7ba2d9d3b7d","anthropic/claude-opus-4","Anthropic: Claude Opus 4","Claude Opus 4 is benchmarked as the world’s best coding model, at time of release, bringing sustained performance on complex, long-running tasks and agent workflows. It sets new benchmarks in software engineering, achieving leading results on SWE-bench (72.5%) and Terminal-bench (43.2%). Opus 4 supports extended, agentic workflows, handling thousands of task steps continuously for hours without degradation. \n\nRead more at the [blog post here](https://www.anthropic.com/news/claude-4)",[11,12],[11],12000,"2025-12-25T10:36:55.922Z","2026-01-09T13:29:07.964Z",{"id":633,"code_name":634,"readable_name":635,"provider":306,"description":636,"input_content_types":637,"output_content_types":638,"image_prompt_text":15,"image_url":15,"prompt_token_cost":583,"completion_token_cost":629,"created_at":639,"updated_at":640,"min_balance":19,"is_active":20,"is_guest_allowed":21,"api_provider":22,"api_model_id":634,"image_generation_cost":23,"web_search_cost":23,"reasoning_token_cost":23,"request_cost":23,"is_starter":21,"image_capabilities":15,"video_capabilities":15,"is_active_for_session":21},"c1afb596-b23d-446c-b776-feec4a8fad2a","anthropic/claude-opus-4.1","Anthropic: Claude Opus 4.1","Claude Opus 4.1 is an updated version of Anthropic’s flagship model, offering improved performance in coding, reasoning, and agentic tasks. It achieves 74.5% on SWE-bench Verified and shows notable gains in multi-file code refactoring, debugging precision, and detail-oriented reasoning. The model supports extended thinking up to 64K tokens and is optimized for tasks involving research, data analysis, and tool-assisted reasoning.",[11,12],[11],"2025-12-25T10:36:55.918Z","2026-01-09T13:29:07.970Z",{"id":642,"code_name":643,"readable_name":644,"provider":306,"description":645,"input_content_types":646,"output_content_types":647,"image_prompt_text":15,"image_url":15,"prompt_token_cost":16,"completion_token_cost":310,"created_at":648,"updated_at":649,"min_balance":19,"is_active":20,"is_guest_allowed":21,"api_provider":22,"api_model_id":643,"image_generation_cost":23,"web_search_cost":23,"reasoning_token_cost":23,"request_cost":23,"is_starter":21,"image_capabilities":15,"video_capabilities":15,"is_active_for_session":21},"eec695bf-a877-45c9-ad85-bd78692af0f5","anthropic/claude-opus-4.5","Anthropic: Claude Opus 4.5","Claude Opus 4.5 is Anthropic’s frontier reasoning model optimized for complex software engineering, agentic workflows, and long-horizon computer use. It offers strong multimodal capabilities, competitive performance across real-world coding and reasoning benchmarks, and improved robustness to prompt injection. The model is designed to operate efficiently across varied effort levels, enabling developers to trade off speed, depth, and token usage depending on task requirements. It comes with a new parameter to control token efficiency, which can be accessed using the OpenRouter Verbosity parameter with low, medium, or high.\n\nOpus 4.5 supports advanced tool use, extended context management, and coordinated multi-agent setups, making it well-suited for autonomous research, debugging, multi-step planning, and spreadsheet/browser manipulation. It delivers substantial gains in structured reasoning, execution reliability, and alignment compared to prior Opus generations, while reducing token overhead and improving performance on long-running tasks.",[11,12],[11],"2025-12-25T10:36:55.915Z","2026-01-09T13:29:07.977Z",{"id":651,"code_name":652,"readable_name":653,"provider":306,"description":654,"input_content_types":655,"output_content_types":656,"image_prompt_text":15,"image_url":15,"prompt_token_cost":582,"completion_token_cost":583,"created_at":657,"updated_at":658,"min_balance":19,"is_active":20,"is_guest_allowed":21,"api_provider":22,"api_model_id":652,"image_generation_cost":23,"web_search_cost":23,"reasoning_token_cost":23,"request_cost":23,"is_starter":21,"image_capabilities":15,"video_capabilities":15,"is_active_for_session":21},"014e9f49-4dee-4c9f-9164-c078f216a6f4","anthropic/claude-sonnet-4.5","Anthropic: Claude Sonnet 4.5","Claude Sonnet 4.5 is Anthropic’s most advanced Sonnet model to date, optimized for real-world agents and coding workflows. It delivers state-of-the-art performance on coding benchmarks such as SWE-bench Verified, with improvements across system design, code security, and specification adherence. The model is designed for extended autonomous operation, maintaining task continuity across sessions and providing fact-based progress tracking.\n\nSonnet 4.5 also introduces stronger agentic capabilities, including improved tool orchestration, speculative parallel execution, and more efficient context and memory management. With enhanced context tracking and awareness of token usage across tool calls, it is particularly well-suited for multi-context and long-running workflows. Use cases span software engineering, cybersecurity, financial analysis, research agents, and other domains requiring sustained reasoning and tool use.",[11,12],[11],"2025-12-25T10:36:55.911Z","2026-01-10T12:26:32.749Z",{"id":660,"code_name":661,"readable_name":662,"provider":663,"description":664,"input_content_types":665,"output_content_types":666,"image_prompt_text":15,"image_url":15,"prompt_token_cost":33,"completion_token_cost":33,"created_at":667,"updated_at":668,"min_balance":19,"is_active":20,"is_guest_allowed":21,"api_provider":22,"api_model_id":661,"image_generation_cost":23,"web_search_cost":23,"reasoning_token_cost":23,"request_cost":23,"is_starter":21,"image_capabilities":15,"video_capabilities":15,"is_active_for_session":21},"f02da952-8532-40b5-890a-2ab5c3697949","tngtech/deepseek-r1t2-chimera:free","TNG: DeepSeek R1T2 Chimera (free)","tngtech","DeepSeek-TNG-R1T2-Chimera is the second-generation Chimera model from TNG Tech. It is a 671 B-parameter mixture-of-experts text-generation model assembled from DeepSeek-AI’s R1-0528, R1, and V3-0324 checkpoints with an Assembly-of-Experts merge. The tri-parent design yields strong reasoning performance while running roughly 20 % faster than the original R1 and more than 2× faster than R1-0528 under vLLM, giving a favorable cost-to-intelligence trade-off. The checkpoint supports contexts up to 60 k tokens in standard use (tested to ~130 k) and maintains consistent \u003Cthink> token behaviour, making it suitable for long-context analysis, dialogue and other open-ended generation tasks.",[11],[11],"2025-12-25T10:36:08.300Z","2026-01-09T13:29:08.216Z",{"id":670,"code_name":671,"readable_name":672,"provider":663,"description":673,"input_content_types":674,"output_content_types":675,"image_prompt_text":15,"image_url":15,"prompt_token_cost":33,"completion_token_cost":33,"created_at":676,"updated_at":677,"min_balance":19,"is_active":20,"is_guest_allowed":21,"api_provider":22,"api_model_id":671,"image_generation_cost":23,"web_search_cost":23,"reasoning_token_cost":23,"request_cost":23,"is_starter":21,"image_capabilities":15,"video_capabilities":15,"is_active_for_session":21},"1de77165-66d2-45ad-aaf7-73b8d046cebb","tngtech/tng-r1t-chimera:free","TNG: R1T Chimera (free)","TNG-R1T-Chimera is an experimental LLM with a faible for creative storytelling and character interaction. It is a derivate of the original TNG/DeepSeek-R1T-Chimera released in April 2025 and is available exclusively via Chutes and OpenRouter.\n\nCharacteristics and improvements include:\n\nWe think that it has a creative and pleasant personality.\nIt has a preliminary EQ-Bench3 value of about 1305.\nIt is quite a bit more intelligent than the original, albeit a slightly slower.\nIt is much more think-token consistent, i.e. reasoning and answer blocks are properly delineated.\nTool calling is much improved.\n\nTNG Tech, the model authors, ask that users follow the careful guidelines that Microsoft has created for their \"MAI-DS-R1\" DeepSeek-based model. These guidelines are available on Hugging Face (https://huggingface.co/microsoft/MAI-DS-R1).",[11],[11],"2025-12-25T10:36:08.296Z","2026-01-09T13:29:08.221Z",{"id":679,"code_name":680,"readable_name":681,"provider":682,"description":683,"input_content_types":684,"output_content_types":685,"image_prompt_text":15,"image_url":15,"prompt_token_cost":686,"completion_token_cost":687,"created_at":688,"updated_at":689,"min_balance":19,"is_active":20,"is_guest_allowed":21,"api_provider":22,"api_model_id":680,"image_generation_cost":23,"web_search_cost":23,"reasoning_token_cost":23,"request_cost":23,"is_starter":21,"image_capabilities":15,"video_capabilities":15,"is_active_for_session":21},"76d17349-835f-48d6-905c-a4ba629c9083","minimax/minimax-m1","MiniMax: MiniMax M1","minimax","MiniMax-M1 is a large-scale, open-weight reasoning model designed for extended context and high-efficiency inference. It leverages a hybrid Mixture-of-Experts (MoE) architecture paired with a custom \"lightning attention\" mechanism, allowing it to process long sequences—up to 1 million tokens—while maintaining competitive FLOP efficiency. With 456 billion total parameters and 45.9B active per token, this variant is optimized for complex, multi-step reasoning tasks.\n\nTrained via a custom reinforcement learning pipeline (CISPO), M1 excels in long-context understanding, software engineering, agentic tool use, and mathematical reasoning. Benchmarks show strong performance across FullStackBench, SWE-bench, MATH, GPQA, and TAU-Bench, often outperforming other open models like DeepSeek R1 and Qwen3-235B.",[11],[11],64,352,"2025-12-25T10:36:08.293Z","2026-01-09T13:29:08.093Z",{"id":691,"code_name":692,"readable_name":693,"provider":518,"description":694,"input_content_types":695,"output_content_types":696,"image_prompt_text":15,"image_url":15,"prompt_token_cost":33,"completion_token_cost":33,"created_at":697,"updated_at":698,"min_balance":19,"is_active":20,"is_guest_allowed":21,"api_provider":22,"api_model_id":692,"image_generation_cost":23,"web_search_cost":23,"reasoning_token_cost":23,"request_cost":23,"is_starter":20,"image_capabilities":15,"video_capabilities":15,"is_active_for_session":21},"4dd25670-ce5e-4840-8d38-2606fdda804f","deepseek/deepseek-r1-0528:free","DeepSeek: R1 0528 (free)","May 28th update to the [original DeepSeek R1](/deepseek/deepseek-r1) Performance on par with [OpenAI o1](/openai/o1), but open-sourced and with fully open reasoning tokens. It's 671B parameters in size, with 37B active in an inference pass.\n\nFully open-source model.",[11],[11],"2025-12-25T10:36:08.288Z","2026-01-09T13:29:08.039Z",{"id":700,"code_name":701,"readable_name":702,"provider":518,"description":703,"input_content_types":704,"output_content_types":705,"image_prompt_text":15,"image_url":15,"prompt_token_cost":706,"completion_token_cost":176,"created_at":707,"updated_at":708,"min_balance":19,"is_active":20,"is_guest_allowed":21,"api_provider":22,"api_model_id":701,"image_generation_cost":23,"web_search_cost":23,"reasoning_token_cost":23,"request_cost":23,"is_starter":21,"image_capabilities":15,"video_capabilities":15,"is_active_for_session":21},"0a5bf668-0bd6-461b-932a-1d14153405af","deepseek/deepseek-r1","DeepSeek: R1","DeepSeek R1 is here: Performance on par with [OpenAI o1](/openai/o1), but open-sourced and with fully open reasoning tokens. It's 671B parameters in size, with 37B active in an inference pass.\n\nFully open-source model & [technical report](https://api-docs.deepseek.com/news/news250120).\n\nMIT licensed: Distill & commercialize freely!",[11],[11],112,"2025-12-25T10:36:08.285Z","2026-01-09T13:29:08.033Z",{"id":710,"code_name":711,"readable_name":712,"provider":518,"description":713,"input_content_types":714,"output_content_types":715,"image_prompt_text":15,"image_url":15,"prompt_token_cost":716,"completion_token_cost":717,"created_at":718,"updated_at":719,"min_balance":19,"is_active":20,"is_guest_allowed":21,"api_provider":22,"api_model_id":711,"image_generation_cost":23,"web_search_cost":23,"reasoning_token_cost":23,"request_cost":23,"is_starter":21,"image_capabilities":15,"video_capabilities":15,"is_active_for_session":21},"6473928f-ffc7-4b34-b494-a944aa8c51dc","deepseek/deepseek-v3.2-speciale","DeepSeek: DeepSeek V3.2 Speciale","DeepSeek-V3.2-Speciale is a high-compute variant of DeepSeek-V3.2 optimized for maximum reasoning and agentic performance. It builds on DeepSeek Sparse Attention (DSA) for efficient long-context processing, then scales post-training reinforcement learning to push capability beyond the base model. Reported evaluations place Speciale ahead of GPT-5 on difficult reasoning workloads, with proficiency comparable to Gemini-3.0-Pro, while retaining strong coding and tool-use reliability. Like V3.2, it benefits from a large-scale agentic task synthesis pipeline that improves compliance and generalization in interactive environments.",[11],[11],43.2,65.6,"2025-12-25T10:36:08.282Z","2026-01-09T13:29:08.026Z",{"id":721,"code_name":722,"readable_name":723,"provider":518,"description":724,"input_content_types":725,"output_content_types":726,"image_prompt_text":15,"image_url":15,"prompt_token_cost":727,"completion_token_cost":728,"created_at":729,"updated_at":730,"min_balance":19,"is_active":20,"is_guest_allowed":21,"api_provider":22,"api_model_id":722,"image_generation_cost":23,"web_search_cost":23,"reasoning_token_cost":23,"request_cost":23,"is_starter":21,"image_capabilities":15,"video_capabilities":15,"is_active_for_session":21},"ca10c04c-9f23-4590-82f9-2c861a62363b","deepseek/deepseek-v3.2","DeepSeek: DeepSeek V3.2","DeepSeek-V3.2 is a large language model designed to harmonize high computational efficiency with strong reasoning and agentic tool-use performance. It introduces DeepSeek Sparse Attention (DSA), a fine-grained sparse attention mechanism that reduces training and inference cost while preserving quality in long-context scenarios. A scalable reinforcement learning post-training framework further improves reasoning, with reported performance in the GPT-5 class, and the model has demonstrated gold-medal results on the 2025 IMO and IOI. V3.2 also uses a large-scale agentic task synthesis pipeline to better integrate reasoning into tool-use settings, boosting compliance and generalization in interactive environments.\n\nUsers can control the reasoning behaviour with the `reasoning` `enabled` boolean. [Learn more in our docs](https://openrouter.ai/docs/use-cases/reasoning-tokens#enable-reasoning-with-default-config)",[11],[11],40,60.8,"2025-12-25T10:36:08.279Z","2026-01-09T13:29:08.019Z",{"id":732,"code_name":733,"readable_name":734,"provider":518,"description":735,"input_content_types":736,"output_content_types":737,"image_prompt_text":15,"image_url":15,"prompt_token_cost":738,"completion_token_cost":739,"created_at":740,"updated_at":741,"min_balance":19,"is_active":20,"is_guest_allowed":21,"api_provider":22,"api_model_id":733,"image_generation_cost":23,"web_search_cost":23,"reasoning_token_cost":23,"request_cost":23,"is_starter":21,"image_capabilities":15,"video_capabilities":15,"is_active_for_session":21},"44ff5cd9-61e3-493d-91a7-d08389bfaa29","deepseek/deepseek-v3.1-terminus","DeepSeek: DeepSeek V3.1 Terminus","DeepSeek-V3.1 Terminus is an update to [DeepSeek V3.1](/deepseek/deepseek-chat-v3.1) that maintains the model's original capabilities while addressing issues reported by users, including language consistency and agent capabilities, further optimizing the model's performance in coding and search agents. It is a large hybrid reasoning model (671B parameters, 37B active) that supports both thinking and non-thinking modes. It extends the DeepSeek-V3 base with a two-phase long-context training process, reaching up to 128K tokens, and uses FP8 microscaling for efficient inference. Users can control the reasoning behaviour with the `reasoning` `enabled` boolean. [Learn more in our docs](https://openrouter.ai/docs/use-cases/reasoning-tokens#enable-reasoning-with-default-config)\n\nThe model improves tool use, code generation, and reasoning efficiency, achieving performance comparable to DeepSeek-R1 on difficult benchmarks while responding more quickly. It supports structured tool calling, code agents, and search agents, making it suitable for research, coding, and agentic workflows. ",[11],[11],33.6,126.4,"2025-12-25T10:36:08.276Z","2026-01-09T13:29:08.013Z",{"id":743,"code_name":744,"readable_name":745,"provider":518,"description":746,"input_content_types":747,"output_content_types":748,"image_prompt_text":15,"image_url":15,"prompt_token_cost":749,"completion_token_cost":391,"created_at":750,"updated_at":751,"min_balance":19,"is_active":20,"is_guest_allowed":21,"api_provider":22,"api_model_id":744,"image_generation_cost":23,"web_search_cost":23,"reasoning_token_cost":23,"request_cost":23,"is_starter":21,"image_capabilities":15,"video_capabilities":15,"is_active_for_session":21},"e8e46a90-9549-4b00-8c32-b7e8426127e5","deepseek/deepseek-chat-v3.1","DeepSeek: DeepSeek V3.1","DeepSeek-V3.1 is a large hybrid reasoning model (671B parameters, 37B active) that supports both thinking and non-thinking modes via prompt templates. It extends the DeepSeek-V3 base with a two-phase long-context training process, reaching up to 128K tokens, and uses FP8 microscaling for efficient inference. Users can control the reasoning behaviour with the `reasoning` `enabled` boolean. [Learn more in our docs](https://openrouter.ai/docs/use-cases/reasoning-tokens#enable-reasoning-with-default-config)\n\nThe model improves tool use, code generation, and reasoning efficiency, achieving performance comparable to DeepSeek-R1 on difficult benchmarks while responding more quickly. It supports structured tool calling, code agents, and search agents, making it suitable for research, coding, and agentic workflows. \n\nIt succeeds the [DeepSeek V3-0324](/deepseek/deepseek-chat-v3-0324) model and performs well on a variety of tasks.",[11],[11],24,"2025-12-25T10:36:08.273Z","2026-01-09T13:29:08.006Z",{"id":753,"code_name":754,"readable_name":755,"provider":518,"description":756,"input_content_types":757,"output_content_types":758,"image_prompt_text":15,"image_url":15,"prompt_token_cost":77,"completion_token_cost":759,"created_at":760,"updated_at":761,"min_balance":19,"is_active":20,"is_guest_allowed":21,"api_provider":22,"api_model_id":754,"image_generation_cost":23,"web_search_cost":23,"reasoning_token_cost":23,"request_cost":23,"is_starter":21,"image_capabilities":15,"video_capabilities":15,"is_active_for_session":21},"c7e07f58-e2a8-47b7-a570-a6478ddaf720","deepseek/deepseek-chat","DeepSeek: DeepSeek V3","DeepSeek-V3 is the latest model from the DeepSeek team, building upon the instruction following and coding abilities of the previous versions. Pre-trained on nearly 15 trillion tokens, the reported evaluations reveal that the model outperforms other open-source models and rivals leading closed-source models.\n\nFor model details, please visit [the DeepSeek-V3 repo](https://github.com/deepseek-ai/DeepSeek-V3) for more information, or see the [launch announcement](https://api-docs.deepseek.com/news/news1226).",[11],[11],192,"2025-12-25T10:36:08.269Z","2026-01-09T13:29:08.001Z",{"id":763,"code_name":764,"readable_name":765,"provider":8,"description":766,"input_content_types":767,"output_content_types":768,"image_prompt_text":15,"image_url":15,"prompt_token_cost":299,"completion_token_cost":769,"created_at":770,"updated_at":771,"min_balance":19,"is_active":20,"is_guest_allowed":21,"api_provider":22,"api_model_id":764,"image_generation_cost":23,"web_search_cost":23,"reasoning_token_cost":23,"request_cost":23,"is_starter":21,"image_capabilities":15,"video_capabilities":15,"is_active_for_session":21},"e1976847-d112-47d4-ac62-331b98046211","openai/o3","OpenAI: o3","o3 is a well-rounded and powerful model across domains. It sets a new standard for math, science, coding, and visual reasoning tasks. It also excels at technical writing and instruction-following. Use it to think through multi-step problems that involve analysis across text, code, and images. ",[11,12],[11],1280,"2025-12-25T10:34:07.570Z","2026-01-09T13:29:08.212Z",{"id":773,"code_name":774,"readable_name":775,"provider":8,"description":776,"input_content_types":777,"output_content_types":778,"image_prompt_text":15,"image_url":15,"prompt_token_cost":583,"completion_token_cost":779,"created_at":780,"updated_at":781,"min_balance":19,"is_active":20,"is_guest_allowed":21,"api_provider":22,"api_model_id":774,"image_generation_cost":23,"web_search_cost":23,"reasoning_token_cost":23,"request_cost":23,"is_starter":21,"image_capabilities":15,"video_capabilities":15,"is_active_for_session":21},"6663502e-94ed-42fb-849b-9ade7c7b95a6","openai/o1","OpenAI: o1","The latest and strongest model family from OpenAI, o1 is designed to spend more time thinking before responding. The o1 model series is trained with large-scale reinforcement learning to reason using chain of thought. \n\nThe o1 models are optimized for math, science, programming, and other STEM-related tasks. They consistently exhibit PhD-level accuracy on benchmarks in physics, chemistry, and biology. Learn more in the [launch announcement](https://openai.com/o1).\n",[11,12],[11],9600,"2025-12-25T10:34:07.566Z","2026-01-09T13:29:08.207Z",{"id":783,"code_name":784,"readable_name":785,"provider":8,"description":786,"input_content_types":787,"output_content_types":788,"image_prompt_text":15,"image_url":15,"prompt_token_cost":33,"completion_token_cost":33,"created_at":789,"updated_at":790,"min_balance":19,"is_active":20,"is_guest_allowed":21,"api_provider":22,"api_model_id":784,"image_generation_cost":23,"web_search_cost":23,"reasoning_token_cost":23,"request_cost":23,"is_starter":21,"image_capabilities":15,"video_capabilities":15,"is_active_for_session":21},"55e3d89c-ae46-48dc-9563-f748718c3911","openai/gpt-oss-120b:free","OpenAI: gpt-oss-120b (free)","gpt-oss-120b is an open-weight, 117B-parameter Mixture-of-Experts (MoE) language model from OpenAI designed for high-reasoning, agentic, and general-purpose production use cases. It activates 5.1B parameters per forward pass and is optimized to run on a single H100 GPU with native MXFP4 quantization. The model supports configurable reasoning depth, full chain-of-thought access, and native tool use, including function calling, browsing, and structured output generation.",[11],[11],"2025-12-25T10:34:07.563Z","2026-01-09T13:29:08.201Z",{"id":792,"code_name":793,"readable_name":794,"provider":8,"description":795,"input_content_types":796,"output_content_types":797,"image_prompt_text":15,"image_url":15,"prompt_token_cost":798,"completion_token_cost":799,"created_at":800,"updated_at":801,"min_balance":19,"is_active":20,"is_guest_allowed":21,"api_provider":22,"api_model_id":793,"image_generation_cost":23,"web_search_cost":23,"reasoning_token_cost":23,"request_cost":23,"is_starter":20,"image_capabilities":15,"video_capabilities":15,"is_active_for_session":21},"125ddb90-fc60-44ce-a1b3-85ddc33ee74a","openai/gpt-5.2-chat","OpenAI: GPT-5.2 Chat","GPT-5.2 Chat (AKA Instant) is the fast, lightweight member of the 5.2 family, optimized for low-latency chat while retaining strong general intelligence. It uses adaptive reasoning to selectively “think” on harder queries, improving accuracy on math, coding, and multi-step tasks without slowing down typical conversations. The model is warmer and more conversational by default, with better instruction following and more stable short-form reasoning. GPT-5.2 Chat is designed for high-throughput, interactive workloads where responsiveness and consistency matter more than deep deliberation.",[11,12],[11],280,2240,"2025-12-25T10:34:07.560Z","2026-01-09T13:29:08.195Z",{"id":803,"code_name":804,"readable_name":805,"provider":8,"description":806,"input_content_types":807,"output_content_types":808,"image_prompt_text":15,"image_url":15,"prompt_token_cost":798,"completion_token_cost":799,"created_at":809,"updated_at":810,"min_balance":19,"is_active":20,"is_guest_allowed":21,"api_provider":22,"api_model_id":804,"image_generation_cost":23,"web_search_cost":23,"reasoning_token_cost":23,"request_cost":23,"is_starter":21,"image_capabilities":15,"video_capabilities":15,"is_active_for_session":21},"4bb67a81-4545-4de3-a66d-d0d39f1a2b69","openai/gpt-5.2","OpenAI: GPT-5.2","GPT-5.2 is the latest frontier-grade model in the GPT-5 series, offering stronger agentic and long context perfomance compared to GPT-5.1. It uses adaptive reasoning to allocate computation dynamically, responding quickly to simple queries while spending more depth on complex tasks.\n\nBuilt for broad task coverage, GPT-5.2 delivers consistent gains across math, coding, sciende, and tool calling workloads, with more coherent long-form answers and improved tool-use reliability.",[11,12],[11],"2025-12-25T10:34:07.557Z","2026-01-09T13:29:08.190Z",{"id":812,"code_name":813,"readable_name":814,"provider":8,"description":815,"input_content_types":816,"output_content_types":817,"image_prompt_text":15,"image_url":15,"prompt_token_cost":727,"completion_token_cost":299,"created_at":818,"updated_at":819,"min_balance":19,"is_active":20,"is_guest_allowed":21,"api_provider":22,"api_model_id":813,"image_generation_cost":23,"web_search_cost":23,"reasoning_token_cost":23,"request_cost":23,"is_starter":21,"image_capabilities":15,"video_capabilities":15,"is_active_for_session":21},"404c988d-a586-4f2c-88fa-22fd61c54151","openai/gpt-5.1-codex-mini","OpenAI: GPT-5.1-Codex-Mini","GPT-5.1-Codex-Mini is a smaller and faster version of GPT-5.1-Codex",[11,12],[11],"2025-12-25T10:34:07.554Z","2026-01-09T13:29:08.185Z",{"id":821,"code_name":822,"readable_name":823,"provider":8,"description":824,"input_content_types":825,"output_content_types":826,"image_prompt_text":15,"image_url":15,"prompt_token_cost":827,"completion_token_cost":319,"created_at":828,"updated_at":829,"min_balance":19,"is_active":20,"is_guest_allowed":21,"api_provider":22,"api_model_id":822,"image_generation_cost":23,"web_search_cost":23,"reasoning_token_cost":23,"request_cost":23,"is_starter":21,"image_capabilities":15,"video_capabilities":15,"is_active_for_session":21},"ee687805-dfb9-4673-8c14-1618228bbd4d","openai/gpt-5.1-codex","OpenAI: GPT-5.1-Codex","GPT-5.1-Codex is a specialized version of GPT-5.1 optimized for software engineering and coding workflows. It is designed for both interactive development sessions and long, independent execution of complex engineering tasks. The model supports building projects from scratch, feature development, debugging, large-scale refactoring, and code review. Compared to GPT-5.1, Codex is more steerable, adheres closely to developer instructions, and produces cleaner, higher-quality code outputs. Reasoning effort can be adjusted with the `reasoning.effort` parameter. Read the [docs here](https://openrouter.ai/docs/use-cases/reasoning-tokens#reasoning-effort-level)\n\nCodex integrates into developer environments including the CLI, IDE extensions, GitHub, and cloud tasks. It adapts reasoning effort dynamically—providing fast responses for small tasks while sustaining extended multi-hour runs for large projects. The model is trained to perform structured code reviews, catching critical flaws by reasoning over dependencies and validating behavior against tests. It also supports multimodal inputs such as images or screenshots for UI development and integrates tool use for search, dependency installation, and environment setup. Codex is intended specifically for agentic coding applications.",[11,12],[11],200,"2025-12-25T10:34:07.550Z","2026-01-09T13:29:08.181Z",{"id":831,"code_name":832,"readable_name":833,"provider":8,"description":834,"input_content_types":835,"output_content_types":836,"image_prompt_text":15,"image_url":15,"prompt_token_cost":827,"completion_token_cost":319,"created_at":837,"updated_at":838,"min_balance":19,"is_active":20,"is_guest_allowed":21,"api_provider":22,"api_model_id":832,"image_generation_cost":23,"web_search_cost":23,"reasoning_token_cost":23,"request_cost":23,"is_starter":21,"image_capabilities":15,"video_capabilities":15,"is_active_for_session":21},"eb3da011-6506-4eca-99ce-79905cdd72c9","openai/gpt-5.1-chat","OpenAI: GPT-5.1 Chat","GPT-5.1 Chat (AKA Instant is the fast, lightweight member of the 5.1 family, optimized for low-latency chat while retaining strong general intelligence. It uses adaptive reasoning to selectively “think” on harder queries, improving accuracy on math, coding, and multi-step tasks without slowing down typical conversations. The model is warmer and more conversational by default, with better instruction following and more stable short-form reasoning. GPT-5.1 Chat is designed for high-throughput, interactive workloads where responsiveness and consistency matter more than deep deliberation.\n",[11,12],[11],"2025-12-25T10:34:07.547Z","2026-01-09T13:29:08.176Z",{"id":840,"code_name":841,"readable_name":842,"provider":8,"description":843,"input_content_types":844,"output_content_types":845,"image_prompt_text":15,"image_url":15,"prompt_token_cost":827,"completion_token_cost":319,"created_at":846,"updated_at":847,"min_balance":19,"is_active":20,"is_guest_allowed":21,"api_provider":22,"api_model_id":841,"image_generation_cost":23,"web_search_cost":23,"reasoning_token_cost":23,"request_cost":23,"is_starter":21,"image_capabilities":15,"video_capabilities":15,"is_active_for_session":21},"8791a84b-018a-494c-b5da-c760c51f1e49","openai/gpt-5.1","OpenAI: GPT-5.1","GPT-5.1 is the latest frontier-grade model in the GPT-5 series, offering stronger general-purpose reasoning, improved instruction adherence, and a more natural conversational style compared to GPT-5. It uses adaptive reasoning to allocate computation dynamically, responding quickly to simple queries while spending more depth on complex tasks. The model produces clearer, more grounded explanations with reduced jargon, making it easier to follow even on technical or multi-step problems.\n\nBuilt for broad task coverage, GPT-5.1 delivers consistent gains across math, coding, and structured analysis workloads, with more coherent long-form answers and improved tool-use reliability. It also features refined conversational alignment, enabling warmer, more intuitive responses without compromising precision. GPT-5.1 serves as the primary full-capability successor to GPT-5",[11,12],[11],"2025-12-25T10:34:07.544Z","2026-01-09T13:29:08.171Z",{"id":849,"code_name":850,"readable_name":851,"provider":8,"description":852,"input_content_types":853,"output_content_types":854,"image_prompt_text":15,"image_url":15,"prompt_token_cost":583,"completion_token_cost":855,"created_at":856,"updated_at":857,"min_balance":19,"is_active":20,"is_guest_allowed":21,"api_provider":22,"api_model_id":850,"image_generation_cost":23,"web_search_cost":23,"reasoning_token_cost":23,"request_cost":23,"is_starter":21,"image_capabilities":15,"video_capabilities":15,"is_active_for_session":21},"523f9b4e-852a-44c7-9be6-9cac2e58cb70","openai/gpt-5-pro","OpenAI: GPT-5 Pro","GPT-5 Pro is OpenAI’s most advanced model, offering major improvements in reasoning, code quality, and user experience. It is optimized for complex tasks that require step-by-step reasoning, instruction following, and accuracy in high-stakes use cases. It supports test-time routing features and advanced prompt understanding, including user-specified intent like \"think hard about this.\" Improvements include reductions in hallucination, sycophancy, and better performance in coding, writing, and health-related tasks.",[11,12],[11],19200,"2025-12-25T10:34:07.540Z","2026-01-09T13:29:08.166Z",{"id":859,"code_name":860,"readable_name":861,"provider":8,"description":862,"input_content_types":863,"output_content_types":864,"image_prompt_text":15,"image_url":15,"prompt_token_cost":33,"completion_token_cost":33,"created_at":865,"updated_at":866,"min_balance":19,"is_active":20,"is_guest_allowed":21,"api_provider":22,"api_model_id":860,"image_generation_cost":23,"web_search_cost":23,"reasoning_token_cost":23,"request_cost":23,"is_starter":20,"image_capabilities":15,"video_capabilities":15,"is_active_for_session":21},"5a9e14f9-9cbd-49fe-bd5d-fae8dcd77830","openai/gpt-5-nano","OpenAI: GPT-5 Nano","GPT-5-Nano is the smallest and fastest variant in the GPT-5 system, optimized for developer tools, rapid interactions, and ultra-low latency environments. While limited in reasoning depth compared to its larger counterparts, it retains key instruction-following and safety features. It is the successor to GPT-4.1-nano and offers a lightweight option for cost-sensitive or real-time applications.",[11,12],[11],"2025-12-25T10:34:07.537Z","2026-01-18T12:04:55.689Z",{"id":868,"code_name":869,"readable_name":870,"provider":8,"description":871,"input_content_types":872,"output_content_types":873,"image_prompt_text":15,"image_url":15,"prompt_token_cost":33,"completion_token_cost":33,"created_at":874,"updated_at":875,"min_balance":19,"is_active":20,"is_guest_allowed":21,"api_provider":22,"api_model_id":869,"image_generation_cost":23,"web_search_cost":23,"reasoning_token_cost":23,"request_cost":23,"is_starter":21,"image_capabilities":15,"video_capabilities":15,"is_active_for_session":21},"ab13ea97-e41b-4d7b-9eb6-1acb43be97fe","openai/gpt-5-mini","OpenAI: GPT-5 Mini","GPT-5 Mini is a compact version of GPT-5, designed to handle lighter-weight reasoning tasks. It provides the same instruction-following and safety-tuning benefits as GPT-5, but with reduced latency and cost. GPT-5 Mini is the successor to OpenAI's o4-mini model.",[11,12],[11],"2025-12-25T10:34:07.532Z","2026-01-24T11:06:48.614Z",{"id":877,"code_name":878,"readable_name":879,"provider":8,"description":880,"input_content_types":881,"output_content_types":882,"image_prompt_text":15,"image_url":15,"prompt_token_cost":827,"completion_token_cost":319,"created_at":883,"updated_at":884,"min_balance":19,"is_active":20,"is_guest_allowed":21,"api_provider":22,"api_model_id":878,"image_generation_cost":23,"web_search_cost":23,"reasoning_token_cost":23,"request_cost":23,"is_starter":21,"image_capabilities":15,"video_capabilities":15,"is_active_for_session":21},"89452bae-077a-4dbd-8e79-d2e3d7453073","openai/gpt-5-codex","OpenAI: GPT-5 Codex","GPT-5-Codex is a specialized version of GPT-5 optimized for software engineering and coding workflows. It is designed for both interactive development sessions and long, independent execution of complex engineering tasks. The model supports building projects from scratch, feature development, debugging, large-scale refactoring, and code review. Compared to GPT-5, Codex is more steerable, adheres closely to developer instructions, and produces cleaner, higher-quality code outputs. Reasoning effort can be adjusted with the `reasoning.effort` parameter. Read the [docs here](https://openrouter.ai/docs/use-cases/reasoning-tokens#reasoning-effort-level)\n\nCodex integrates into developer environments including the CLI, IDE extensions, GitHub, and cloud tasks. It adapts reasoning effort dynamically—providing fast responses for small tasks while sustaining extended multi-hour runs for large projects. The model is trained to perform structured code reviews, catching critical flaws by reasoning over dependencies and validating behavior against tests. It also supports multimodal inputs such as images or screenshots for UI development and integrates tool use for search, dependency installation, and environment setup. Codex is intended specifically for agentic coding applications.",[11,12],[11],"2025-12-25T10:34:07.520Z","2026-01-09T13:29:08.145Z",{"id":886,"code_name":887,"readable_name":888,"provider":8,"description":889,"input_content_types":890,"output_content_types":891,"image_prompt_text":15,"image_url":15,"prompt_token_cost":827,"completion_token_cost":319,"created_at":892,"updated_at":893,"min_balance":19,"is_active":20,"is_guest_allowed":21,"api_provider":22,"api_model_id":887,"image_generation_cost":23,"web_search_cost":23,"reasoning_token_cost":23,"request_cost":23,"is_starter":21,"image_capabilities":15,"video_capabilities":15,"is_active_for_session":21},"9bb0ca85-c786-47dc-b331-19ab6f1677d9","openai/gpt-5-chat","OpenAI: GPT-5 Chat","GPT-5 Chat is designed for advanced, natural, multimodal, and context-aware conversations for enterprise applications.",[11,12],[11],"2025-12-25T10:34:07.517Z","2026-01-09T13:29:08.140Z",{"id":895,"code_name":896,"readable_name":897,"provider":8,"description":898,"input_content_types":899,"output_content_types":900,"image_prompt_text":15,"image_url":15,"prompt_token_cost":827,"completion_token_cost":319,"created_at":901,"updated_at":902,"min_balance":19,"is_active":20,"is_guest_allowed":21,"api_provider":22,"api_model_id":896,"image_generation_cost":23,"web_search_cost":23,"reasoning_token_cost":23,"request_cost":23,"is_starter":21,"image_capabilities":15,"video_capabilities":15,"is_active_for_session":21},"8b099914-1503-42e0-8250-6b21d0cbaf33","openai/gpt-5","OpenAI: GPT-5","GPT-5 is OpenAI’s most advanced model, offering major improvements in reasoning, code quality, and user experience. It is optimized for complex tasks that require step-by-step reasoning, instruction following, and accuracy in high-stakes use cases. It supports test-time routing features and advanced prompt understanding, including user-specified intent like \"think hard about this.\" Improvements include reductions in hallucination, sycophancy, and better performance in coding, writing, and health-related tasks.",[11,12],[11],"2025-12-25T10:34:07.513Z","2026-01-09T13:29:08.135Z",{"id":904,"code_name":905,"readable_name":906,"provider":8,"description":907,"input_content_types":908,"output_content_types":909,"image_prompt_text":15,"image_url":15,"prompt_token_cost":749,"completion_token_cost":910,"created_at":911,"updated_at":912,"min_balance":19,"is_active":20,"is_guest_allowed":21,"api_provider":22,"api_model_id":905,"image_generation_cost":23,"web_search_cost":23,"reasoning_token_cost":23,"request_cost":23,"is_starter":21,"image_capabilities":15,"video_capabilities":15,"is_active_for_session":21},"5b7f5ced-9dd8-401b-a6e7-262076d87ccd","openai/gpt-4o-mini","OpenAI: GPT-4o-mini","GPT-4o mini is OpenAI's newest model after [GPT-4 Omni](/models/openai/gpt-4o), supporting both text and image inputs with text outputs.\n\nAs their most advanced small model, it is many multiples more affordable than other recent frontier models, and more than 60% cheaper than [GPT-3.5 Turbo](/models/openai/gpt-3.5-turbo). It maintains SOTA intelligence, while being significantly more cost-effective.\n\nGPT-4o mini achieves an 82% score on MMLU and presently ranks higher than GPT-4 on chat preferences [common leaderboards](https://arena.lmsys.org/).\n\nCheck out the [launch announcement](https://openai.com/index/gpt-4o-mini-advancing-cost-efficient-intelligence/) to learn more.\n\n#multimodal",[11,12],[11],96,"2025-12-25T10:34:07.509Z","2026-01-09T13:29:08.128Z",{"id":914,"code_name":915,"readable_name":916,"provider":8,"description":917,"input_content_types":918,"output_content_types":919,"image_prompt_text":15,"image_url":15,"prompt_token_cost":78,"completion_token_cost":319,"created_at":920,"updated_at":921,"min_balance":19,"is_active":20,"is_guest_allowed":21,"api_provider":22,"api_model_id":915,"image_generation_cost":23,"web_search_cost":23,"reasoning_token_cost":23,"request_cost":23,"is_starter":21,"image_capabilities":15,"video_capabilities":15,"is_active_for_session":21},"74cd7bef-5856-4f89-b016-aec7deaaf54a","openai/gpt-4o","OpenAI: GPT-4o","GPT-4o (\"o\" for \"omni\") is OpenAI's latest AI model, supporting both text and image inputs with text outputs. It maintains the intelligence level of [GPT-4 Turbo](/models/openai/gpt-4-turbo) while being twice as fast and 50% more cost-effective. GPT-4o also offers improved performance in processing non-English languages and enhanced visual capabilities.\n\nFor benchmarking against other models, it was briefly called [\"im-also-a-good-gpt2-chatbot\"](https://twitter.com/LiamFedus/status/1790064963966370209)\n\n#multimodal",[11,12],[11],"2025-12-25T10:34:07.506Z","2026-01-09T13:29:08.123Z",{"id":923,"code_name":924,"readable_name":925,"provider":8,"description":926,"input_content_types":927,"output_content_types":928,"image_prompt_text":15,"image_url":15,"prompt_token_cost":929,"completion_token_cost":686,"created_at":930,"updated_at":931,"min_balance":19,"is_active":20,"is_guest_allowed":21,"api_provider":22,"api_model_id":924,"image_generation_cost":23,"web_search_cost":23,"reasoning_token_cost":23,"request_cost":23,"is_starter":21,"image_capabilities":15,"video_capabilities":15,"is_active_for_session":21},"75352b2a-3d72-4936-aa9b-fddf3d954a04","openai/gpt-4.1-nano","OpenAI: GPT-4.1 Nano","For tasks that demand low latency, GPT‑4.1 nano is the fastest and cheapest model in the GPT-4.1 series. It delivers exceptional performance at a small size with its 1 million token context window, and scores 80.1% on MMLU, 50.3% on GPQA, and 9.8% on Aider polyglot coding – even higher than GPT‑4o mini. It’s ideal for tasks like classification or autocompletion.",[11,12],[11],16,"2025-12-25T10:34:07.503Z","2026-01-09T13:29:08.118Z",{"id":933,"code_name":934,"readable_name":935,"provider":8,"description":936,"input_content_types":937,"output_content_types":938,"image_prompt_text":15,"image_url":15,"prompt_token_cost":686,"completion_token_cost":939,"created_at":940,"updated_at":941,"min_balance":19,"is_active":20,"is_guest_allowed":21,"api_provider":22,"api_model_id":934,"image_generation_cost":23,"web_search_cost":23,"reasoning_token_cost":23,"request_cost":23,"is_starter":21,"image_capabilities":15,"video_capabilities":15,"is_active_for_session":21},"b4bd41b8-3f24-4c07-ab56-dfd373ed9093","openai/gpt-4.1-mini","OpenAI: GPT-4.1 Mini","GPT-4.1 Mini is a mid-sized model delivering performance competitive with GPT-4o at substantially lower latency and cost. It retains a 1 million token context window and scores 45.1% on hard instruction evals, 35.8% on MultiChallenge, and 84.1% on IFEval. Mini also shows strong coding ability (e.g., 31.6% on Aider’s polyglot diff benchmark) and vision understanding, making it suitable for interactive applications with tight performance constraints.",[11,12],[11],256,"2025-12-25T10:34:07.500Z","2026-01-09T13:29:08.114Z",{"id":943,"code_name":944,"readable_name":945,"provider":8,"description":946,"input_content_types":947,"output_content_types":948,"image_prompt_text":15,"image_url":15,"prompt_token_cost":299,"completion_token_cost":769,"created_at":949,"updated_at":950,"min_balance":19,"is_active":20,"is_guest_allowed":21,"api_provider":22,"api_model_id":944,"image_generation_cost":23,"web_search_cost":23,"reasoning_token_cost":23,"request_cost":23,"is_starter":21,"image_capabilities":15,"video_capabilities":15,"is_active_for_session":21},"ea73ac5e-8c4a-4807-9518-f26b7a1cc2b8","openai/gpt-4.1","OpenAI: GPT-4.1","GPT-4.1 is a flagship large language model optimized for advanced instruction following, real-world software engineering, and long-context reasoning. It supports a 1 million token context window and outperforms GPT-4o and GPT-4.5 across coding (54.6% SWE-bench Verified), instruction compliance (87.4% IFEval), and multimodal understanding benchmarks. It is tuned for precise code diffs, agent reliability, and high recall in large document contexts, making it ideal for agents, IDE tooling, and enterprise knowledge retrieval.",[11,12],[11],"2025-12-25T10:34:07.496Z","2026-01-09T13:29:08.109Z",{"id":952,"code_name":953,"readable_name":954,"provider":8,"description":955,"input_content_types":956,"output_content_types":957,"image_prompt_text":15,"image_url":15,"prompt_token_cost":553,"completion_token_cost":51,"created_at":958,"updated_at":959,"min_balance":19,"is_active":20,"is_guest_allowed":21,"api_provider":22,"api_model_id":953,"image_generation_cost":23,"web_search_cost":23,"reasoning_token_cost":23,"request_cost":23,"is_starter":21,"image_capabilities":15,"video_capabilities":15,"is_active_for_session":21},"73c486fc-0446-4ec9-822b-369677582428","openai/codex-mini","OpenAI: Codex Mini","codex-mini-latest is a fine-tuned version of o4-mini specifically for use in Codex CLI. For direct use in the API, we recommend starting with gpt-4.1.",[11,12],[11],"2025-12-25T10:34:07.492Z","2026-01-09T13:29:08.104Z",{"id":961,"code_name":962,"readable_name":963,"provider":8,"description":964,"input_content_types":965,"output_content_types":966,"image_prompt_text":15,"image_url":15,"prompt_token_cost":16,"completion_token_cost":583,"created_at":967,"updated_at":968,"min_balance":19,"is_active":20,"is_guest_allowed":21,"api_provider":22,"api_model_id":962,"image_generation_cost":23,"web_search_cost":23,"reasoning_token_cost":23,"request_cost":23,"is_starter":21,"image_capabilities":15,"video_capabilities":15,"is_active_for_session":21},"422c0602-fae9-4f3c-aa9e-e9e4eab691ef","openai/chatgpt-4o-latest","OpenAI: ChatGPT-4o","OpenAI ChatGPT 4o is continually updated by OpenAI to point to the current version of GPT-4o used by ChatGPT. It therefore differs slightly from the API version of [GPT-4o](/models/openai/gpt-4o) in that it has additional RLHF. It is intended for research and evaluation.\n\nOpenAI notes that this model is not suited for production use-cases as it may be removed or redirected to another model in the future.",[11,12],[11],"2025-12-25T10:34:07.488Z","2026-01-09T13:29:08.100Z",{"id":970,"code_name":971,"readable_name":972,"provider":71,"description":973,"input_content_types":974,"output_content_types":975,"image_prompt_text":15,"image_url":15,"prompt_token_cost":33,"completion_token_cost":33,"created_at":976,"updated_at":977,"min_balance":19,"is_active":20,"is_guest_allowed":21,"api_provider":22,"api_model_id":971,"image_generation_cost":23,"web_search_cost":23,"reasoning_token_cost":23,"request_cost":23,"is_starter":21,"image_capabilities":15,"video_capabilities":15,"is_active_for_session":21},"7769a04b-c199-4a0b-9907-c24a813a7783","google/gemini-2.0-flash-exp:free","Google: Gemini 2.0 Flash Experimental (free)","Gemini Flash 2.0 offers a significantly faster time to first token (TTFT) compared to [Gemini Flash 1.5](/google/gemini-flash-1.5), while maintaining quality on par with larger models like [Gemini Pro 1.5](/google/gemini-pro-1.5). It introduces notable enhancements in multimodal understanding, coding capabilities, complex instruction following, and function calling. These advancements come together to deliver more seamless and robust agentic experiences.",[11,12],[11],"2025-12-25T10:30:50.843Z","2026-01-09T13:29:08.043Z",{"id":979,"code_name":980,"readable_name":981,"provider":71,"description":982,"input_content_types":983,"output_content_types":984,"image_prompt_text":15,"image_url":15,"prompt_token_cost":299,"completion_token_cost":355,"created_at":985,"updated_at":986,"min_balance":19,"is_active":20,"is_guest_allowed":21,"api_provider":22,"api_model_id":980,"image_generation_cost":23,"web_search_cost":23,"reasoning_token_cost":23,"request_cost":23,"is_starter":21,"image_capabilities":15,"video_capabilities":15,"is_active_for_session":21},"7e36b040-980b-4cdd-a9c2-1593f9f98516","google/gemini-3-pro-preview","Google: Gemini 3 Pro Preview","Gemini 3 Pro is Google’s flagship frontier model for high-precision multimodal reasoning, combining strong performance across text, image, video, audio, and code with a 1M-token context window. Reasoning Details must be preserved when using multi-turn tool calling, see our docs here: https://openrouter.ai/docs/use-cases/reasoning-tokens#preserving-reasoning-blocks. It delivers state-of-the-art benchmark results in general reasoning, STEM problem solving, factual QA, and multimodal understanding, including leading scores on LMArena, GPQA Diamond, MathArena Apex, MMMU-Pro, and Video-MMMU. Interactions emphasize depth and interpretability: the model is designed to infer intent with minimal prompting and produce direct, insight-focused responses.\n\nBuilt for advanced development and agentic workflows, Gemini 3 Pro provides robust tool-calling, long-horizon planning stability, and strong zero-shot generation for complex UI, visualization, and coding tasks. It excels at agentic coding (SWE-Bench Verified, Terminal-Bench 2.0), multimodal analysis, and structured long-form tasks such as research synthesis, planning, and interactive learning experiences. Suitable applications include autonomous agents, coding assistants, multimodal analytics, scientific reasoning, and high-context information processing.",[11,12],[11],"2025-12-25T10:30:50.836Z","2026-01-09T13:29:08.084Z",{"id":988,"code_name":989,"readable_name":990,"provider":71,"description":991,"input_content_types":992,"output_content_types":993,"image_prompt_text":15,"image_url":15,"prompt_token_cost":563,"completion_token_cost":582,"created_at":994,"updated_at":995,"min_balance":19,"is_active":20,"is_guest_allowed":21,"api_provider":22,"api_model_id":989,"image_generation_cost":23,"web_search_cost":23,"reasoning_token_cost":23,"request_cost":23,"is_starter":20,"image_capabilities":15,"video_capabilities":15,"is_active_for_session":21},"3a350142-3211-48dc-8f58-7d6ef209c381","google/gemini-3-flash-preview","Google: Gemini 3 Flash Preview","Gemini 3 Flash Preview is a high speed, high value thinking model designed for agentic workflows, multi turn chat, and coding assistance. It delivers near Pro level reasoning and tool use performance with substantially lower latency than larger Gemini variants, making it well suited for interactive development, long running agent loops, and collaborative coding tasks. Compared to Gemini 2.5 Flash, it provides broad quality improvements across reasoning, multimodal understanding, and reliability.\n\nThe model supports a 1M token context window and multimodal inputs including text, images, audio, video, and PDFs, with text output. It includes configurable reasoning via thinking levels (minimal, low, medium, high), structured output, tool use, and automatic context caching. Gemini 3 Flash Preview is optimized for users who want strong reasoning and agentic behavior without the cost or latency of full scale frontier models.",[11,12],[11],"2025-12-25T10:30:50.834Z","2026-01-10T11:02:22.728Z",{"id":997,"code_name":998,"readable_name":999,"provider":71,"description":1000,"input_content_types":1001,"output_content_types":1002,"image_prompt_text":15,"image_url":15,"prompt_token_cost":827,"completion_token_cost":319,"created_at":1003,"updated_at":1004,"min_balance":19,"is_active":20,"is_guest_allowed":21,"api_provider":22,"api_model_id":998,"image_generation_cost":23,"web_search_cost":23,"reasoning_token_cost":23,"request_cost":23,"is_starter":21,"image_capabilities":15,"video_capabilities":15,"is_active_for_session":21},"79268da7-c02a-4bd3-9b77-f1ec76033ad7","google/gemini-2.5-pro","Google: Gemini 2.5 Pro","Gemini 2.5 Pro is Google’s state-of-the-art AI model designed for advanced reasoning, coding, mathematics, and scientific tasks. It employs “thinking” capabilities, enabling it to reason through responses with enhanced accuracy and nuanced context handling. Gemini 2.5 Pro achieves top-tier performance on multiple benchmarks, including first-place positioning on the LMArena leaderboard, reflecting superior human-preference alignment and complex problem-solving abilities.",[11,12],[11],"2025-12-25T10:30:50.831Z","2026-01-10T12:26:46.672Z",{"id":1006,"code_name":1007,"readable_name":1008,"provider":71,"description":1009,"input_content_types":1010,"output_content_types":1011,"image_prompt_text":15,"image_url":15,"prompt_token_cost":929,"completion_token_cost":686,"created_at":1012,"updated_at":1013,"min_balance":19,"is_active":20,"is_guest_allowed":21,"api_provider":22,"api_model_id":1007,"image_generation_cost":23,"web_search_cost":23,"reasoning_token_cost":23,"request_cost":23,"is_starter":21,"image_capabilities":15,"video_capabilities":15,"is_active_for_session":21},"3fa7fb78-36da-4947-be3c-8efc25ea0f8b","google/gemini-2.5-flash-lite","Google: Gemini 2.5 Flash Lite","Gemini 2.5 Flash-Lite is a lightweight reasoning model in the Gemini 2.5 family, optimized for ultra-low latency and cost efficiency. It offers improved throughput, faster token generation, and better performance across common benchmarks compared to earlier Flash models. By default, \"thinking\" (i.e. multi-pass reasoning) is disabled to prioritize speed, but developers can enable it via the [Reasoning API parameter](https://openrouter.ai/docs/use-cases/reasoning-tokens) to selectively trade off cost for intelligence. ",[11,12],[11],"2025-12-25T10:30:50.829Z","2026-01-09T13:29:08.060Z",{"id":1015,"code_name":1016,"readable_name":1017,"provider":71,"description":1018,"input_content_types":1019,"output_content_types":1020,"image_prompt_text":15,"image_url":15,"prompt_token_cost":77,"completion_token_cost":78,"created_at":1021,"updated_at":1022,"min_balance":19,"is_active":20,"is_guest_allowed":21,"api_provider":22,"api_model_id":1016,"image_generation_cost":1023,"web_search_cost":23,"reasoning_token_cost":23,"request_cost":23,"is_starter":21,"image_capabilities":1024,"video_capabilities":15,"is_active_for_session":21},"431a1d5b-3c75-41f3-9d68-5eb0aed6d2f4","google/gemini-2.5-flash-image","Google: Gemini 2.5 Flash Image (Nano Banana)","Gemini 2.5 Flash Image, a.k.a. \"Nano Banana,\" is now generally available. It is a state of the art image generation model with contextual understanding. It is capable of image generation, edits, and multi-turn conversations. Aspect ratios can be controlled with the [image_config API Parameter](https://openrouter.ai/docs/features/multimodal/image-generation#image-aspect-ratio-configuration)",[11,12],[11,12],"2025-12-25T10:30:50.826Z","2026-01-10T12:25:40.998Z","7.000000",{"aspectRatios":1025,"defaultAspectRatio":218,"resolutions":1026,"defaultResolution":15,"qualities":1027,"defaultQuality":15,"supportsGoogleSearch":21,"basePriceRub":1028},[218,404,405,261,260,453,454,96,95,262],[],[],7,{"id":1030,"code_name":1031,"readable_name":1032,"provider":71,"description":1033,"input_content_types":1034,"output_content_types":1035,"image_prompt_text":15,"image_url":15,"prompt_token_cost":77,"completion_token_cost":78,"created_at":1036,"updated_at":1037,"min_balance":19,"is_active":20,"is_guest_allowed":21,"api_provider":22,"api_model_id":1031,"image_generation_cost":23,"web_search_cost":23,"reasoning_token_cost":23,"request_cost":23,"is_starter":21,"image_capabilities":15,"video_capabilities":15,"is_active_for_session":21},"586744c1-9e46-4020-811e-c38b702fdfb3","google/gemini-2.5-flash","Google: Gemini 2.5 Flash","Gemini 2.5 Flash is Google's state-of-the-art workhorse model, specifically designed for advanced reasoning, coding, mathematics, and scientific tasks. It includes built-in \"thinking\" capabilities, enabling it to provide responses with greater accuracy and nuanced context handling. \n\nAdditionally, Gemini 2.5 Flash is configurable through the \"max tokens for reasoning\" parameter, as described in the documentation (https://openrouter.ai/docs/use-cases/reasoning-tokens#max-tokens-for-reasoning).",[11,12],[11],"2025-12-25T10:30:50.823Z","2026-01-09T13:29:08.049Z",{"left":33,"top":33,"width":749,"height":749,"rotate":33,"vFlip":21,"hFlip":21,"body":1039},"\u003Cpath fill=\"currentColor\" d=\"M20 11v2H8l5.5 5.5l-1.42 1.42L4.16 12l7.92-7.92L13.5 5.5L8 11z\"/>",{"left":33,"top":33,"width":749,"height":749,"rotate":33,"vFlip":21,"hFlip":21,"body":1041},"\u003Cpath fill=\"currentColor\" d=\"M12 2a2 2 0 0 1 2 2c0 .74-.4 1.39-1 1.73V7h1a7 7 0 0 1 7 7h1a1 1 0 0 1 1 1v3a1 1 0 0 1-1 1h-1v1a2 2 0 0 1-2 2H5a2 2 0 0 1-2-2v-1H2a1 1 0 0 1-1-1v-3a1 1 0 0 1 1-1h1a7 7 0 0 1 7-7h1V5.73c-.6-.34-1-.99-1-1.73a2 2 0 0 1 2-2M7.5 13A2.5 2.5 0 0 0 5 15.5A2.5 2.5 0 0 0 7.5 18a2.5 2.5 0 0 0 2.5-2.5A2.5 2.5 0 0 0 7.5 13m9 0a2.5 2.5 0 0 0-2.5 2.5a2.5 2.5 0 0 0 2.5 2.5a2.5 2.5 0 0 0 2.5-2.5a2.5 2.5 0 0 0-2.5-2.5\"/>",{"left":33,"top":33,"width":749,"height":749,"rotate":33,"vFlip":21,"hFlip":21,"body":1043},"\u003Cpath fill=\"currentColor\" d=\"M17.304 3.541h-3.672l6.696 16.918H24Zm-10.608 0L0 20.459h3.744l1.37-3.553h7.005l1.369 3.553h3.744L10.536 3.541Zm-.371 10.223L8.616 7.82l2.291 5.945Z\"/>",{"left":33,"top":33,"width":749,"height":749,"rotate":33,"vFlip":21,"hFlip":21,"body":1045},"\u003Cpath fill=\"currentColor\" d=\"M12.48 10.92v3.28h7.84c-.24 1.84-.853 3.187-1.787 4.133c-1.147 1.147-2.933 2.4-6.053 2.4c-4.827 0-8.6-3.893-8.6-8.72s3.773-8.72 8.6-8.72c2.6 0 4.507 1.027 5.907 2.347l2.307-2.307C18.747 1.44 16.133 0 12.48 0C5.867 0 .307 5.387.307 12s5.56 12 12.173 12c3.573 0 6.267-1.173 8.373-3.36c2.16-2.16 2.84-5.213 2.84-7.667c0-.76-.053-1.467-.173-2.053z\"/>",{"left":33,"top":33,"width":749,"height":749,"rotate":33,"vFlip":21,"hFlip":21,"body":1047,"hidden":20},"\u003Cpath fill=\"currentColor\" d=\"M22.282 9.821a6 6 0 0 0-.516-4.91a6.05 6.05 0 0 0-6.51-2.9A6.065 6.065 0 0 0 4.981 4.18a6 6 0 0 0-3.998 2.9a6.05 6.05 0 0 0 .743 7.097a5.98 5.98 0 0 0 .51 4.911a6.05 6.05 0 0 0 6.515 2.9A6 6 0 0 0 13.26 24a6.06 6.06 0 0 0 5.772-4.206a6 6 0 0 0 3.997-2.9a6.06 6.06 0 0 0-.747-7.073M13.26 22.43a4.48 4.48 0 0 1-2.876-1.04l.141-.081l4.779-2.758a.8.8 0 0 0 .392-.681v-6.737l2.02 1.168a.07.07 0 0 1 .038.052v5.583a4.504 4.504 0 0 1-4.494 4.494M3.6 18.304a4.47 4.47 0 0 1-.535-3.014l.142.085l4.783 2.759a.77.77 0 0 0 .78 0l5.843-3.369v2.332a.08.08 0 0 1-.033.062L9.74 19.95a4.5 4.5 0 0 1-6.14-1.646M2.34 7.896a4.5 4.5 0 0 1 2.366-1.973V11.6a.77.77 0 0 0 .388.677l5.815 3.354l-2.02 1.168a.08.08 0 0 1-.071 0l-4.83-2.786A4.504 4.504 0 0 1 2.34 7.872zm16.597 3.855l-5.833-3.387L15.119 7.2a.08.08 0 0 1 .071 0l4.83 2.791a4.494 4.494 0 0 1-.676 8.105v-5.678a.79.79 0 0 0-.407-.667m2.01-3.023l-.141-.085l-4.774-2.782a.78.78 0 0 0-.785 0L9.409 9.23V6.897a.07.07 0 0 1 .028-.061l4.83-2.787a4.5 4.5 0 0 1 6.68 4.66zm-12.64 4.135l-2.02-1.164a.08.08 0 0 1-.038-.057V6.075a4.5 4.5 0 0 1 7.375-3.453l-.142.08L8.704 5.46a.8.8 0 0 0-.393.681zm1.097-2.365l2.602-1.5l2.607 1.5v2.999l-2.597 1.5l-2.607-1.5Z\"/>",1787553455984]