{ "generated_at": "2026-09-23T06:00:01-03:00", "source": "https://openrouter.ai/api/v1/models", "window_days": 30, "total_models": 383, "first_run": false, "new_models": [ { "id": "cohere/command-a-plus", "name": "Cohere: Command A+", "provider": "Cohere", "created": 1790102896, "created_date": "2026-09-22", "context_length": 192000, "price_input": 0.3, "price_output": 1.5, "free": false, "modality": "text+image->text", "input_modalities": [ "text", "image" ], "output_modalities": [ "text" ], "modality_tags": [ "texto", "imagem", "multimodal" ], "description": "Command A+ is Cohere's flagship model for enterprise agentic workflows. It accepts text and image inputs with a 192K context window, supports native tool calling with strict tool schemas, structured...", "detected": "2026-09-23" }, { "id": "openai/gpt-6-luna-pro", "name": "OpenAI: GPT-6 Luna Pro", "provider": "OpenAI", "created": 1790100791, "created_date": "2026-09-22", "context_length": 1050000, "price_input": 0.1, "price_output": 0.5, "free": false, "modality": "text+image+file->text", "input_modalities": [ "file", "image", "text" ], "output_modalities": [ "text" ], "modality_tags": [ "texto", "imagem", "arquivo", "multimodal" ], "description": "GPT-6 Luna Pro is the same underlying model as [GPT-6 Luna](https://openrouter.ai/openai/gpt-6-luna), served with `reasoning.mode` set to `pro` for higher-quality responses on complex tasks.\n\nLearn more in OpenAI's docs: https://developers.openai.com/api/docs/guides/reasoning#reasoning-mode", "detected": "2026-09-22" }, { "id": "openai/gpt-6-luna", "name": "OpenAI: GPT-6 Luna", "provider": "OpenAI", "created": 1790100786, "created_date": "2026-09-22", "context_length": 1050000, "price_input": 0.1, "price_output": 0.5, "free": false, "modality": "text+image+file->text", "input_modalities": [ "file", "image", "text" ], "output_modalities": [ "text" ], "modality_tags": [ "texto", "imagem", "arquivo", "multimodal" ], "description": "GPT-6 Luna is the fast, cost-efficient model in OpenAI's GPT-6 series, positioned below GPT-6 Sol. It is suited for high-volume and latency-sensitive workloads such as chat, classification, and lightweight agentic...", "detected": "2026-09-22" }, { "id": "openai/gpt-6-sol-pro", "name": "OpenAI: GPT-6 Sol Pro", "provider": "OpenAI", "created": 1790100781, "created_date": "2026-09-22", "context_length": 1050000, "price_input": 2.0, "price_output": 10.0, "free": false, "modality": "text+image+file->text", "input_modalities": [ "file", "image", "text" ], "output_modalities": [ "text" ], "modality_tags": [ "texto", "imagem", "arquivo", "multimodal" ], "description": "GPT-6 Sol Pro is the same underlying model as [GPT-6 Sol](https://openrouter.ai/openai/gpt-6-sol), served with `reasoning.mode` set to `pro` for higher-quality responses on complex tasks.\n\nLearn more in OpenAI's docs: https://developers.openai.com/api/docs/guides/reasoning#reasoning-mode", "detected": "2026-09-22" }, { "id": "openai/gpt-6-sol", "name": "OpenAI: GPT-6 Sol", "provider": "OpenAI", "created": 1790100775, "created_date": "2026-09-22", "context_length": 1050000, "price_input": 2.0, "price_output": 10.0, "free": false, "modality": "text+image+file->text", "input_modalities": [ "file", "image", "text" ], "output_modalities": [ "text" ], "modality_tags": [ "texto", "imagem", "arquivo", "multimodal" ], "description": "GPT-6 Sol is the cost-efficient high-end model in OpenAI's GPT-6 series, positioned below the flagship GPT-6 Astra and above the fast GPT-6 Luna tier. It is suited for demanding professional...", "detected": "2026-09-22" }, { "id": "anthropic/claude-opus-5.5", "name": "Anthropic: Claude Opus 5.5", "provider": "Anthropic", "created": 1790094732, "created_date": "2026-09-22", "context_length": 1000000, "price_input": 4.0, "price_output": 20.0, "free": false, "modality": "text+image+file->text", "input_modalities": [ "text", "image", "file" ], "output_modalities": [ "text" ], "modality_tags": [ "texto", "imagem", "arquivo", "multimodal" ], "description": "Claude Opus 5.5 is Anthropic's flagship model for demanding reasoning, coding, and long-horizon agentic work, succeeding Claude Opus 5. It is particularly strong at multi-step changes in large codebases, code...", "detected": "2026-09-22" }, { "id": "xiaomi/mimo-v2.6-pro-ultraspeed", "name": "Xiaomi: MiMo-V2.6-Pro-UltraSpeed", "provider": "Xiaomi", "created": 1790021267, "created_date": "2026-09-21", "context_length": 1048576, "price_input": 4.35, "price_output": 8.7, "free": false, "modality": "text+image+audio+video->text", "input_modalities": [ "text", "image", "video", "audio" ], "output_modalities": [ "text" ], "modality_tags": [ "texto", "imagem", "audio", "video", "multimodal" ], "description": "MiMo-V2.6-Pro-UltraSpeed is the fast speed edition of Xiaomi's flagship foundation model, MiMo-V2.6-Pro. Built from the same 1T MiMo-V2.6-Pro checkpoint, it matches the original model in quality while delivering roughly 10x...", "detected": "2026-09-21" }, { "id": "xiaomi/mimo-v2.6-flash", "name": "Xiaomi: MiMo-V2.6-Flash", "provider": "Xiaomi", "created": 1790021264, "created_date": "2026-09-21", "context_length": 1048576, "price_input": 0.14, "price_output": 0.28, "free": false, "modality": "text+image+audio+video->text", "input_modalities": [ "text", "image", "video", "audio" ], "output_modalities": [ "text" ], "modality_tags": [ "texto", "imagem", "audio", "video", "multimodal" ], "description": "MiMo-V2.6-Flash is an open-source foundation model developed by Xiaomi. Built on a Mixture-of-Experts architecture with 309B total parameters and 15B activated per token, it employs a hybrid attention mechanism for...", "detected": "2026-09-21" }, { "id": "xiaomi/mimo-v2.6-pro", "name": "Xiaomi: MiMo-V2.6-Pro", "provider": "Xiaomi", "created": 1790021259, "created_date": "2026-09-21", "context_length": 1048576, "price_input": 0.435, "price_output": 0.87, "free": false, "modality": "text+image+audio+video->text", "input_modalities": [ "text", "image", "video", "audio" ], "output_modalities": [ "text" ], "modality_tags": [ "texto", "imagem", "audio", "video", "multimodal" ], "description": "MiMo-V2.6-Pro is the flagship foundation model developed by Xiaomi. Built at a scale of over 1T parameters, it is designed to push the ceiling of capability for the most demanding...", "detected": "2026-09-21" }, { "id": "x-ai/grok-4.7", "name": "SpaceXAI: Grok 4.7", "provider": "xAI", "created": 1790007541, "created_date": "2026-09-21", "context_length": 500000, "price_input": 1.6, "price_output": 4.8, "free": false, "modality": "text+image+file->text", "input_modalities": [ "text", "image", "file" ], "output_modalities": [ "text" ], "modality_tags": [ "texto", "imagem", "arquivo", "multimodal" ], "description": "Grok 4.7 is SpaceXAI's flagship model for coding, agentic tasks, and knowledge work, succeeding Grok 4.6. It is particularly strong at long-running software engineering tasks, verifying its own work, and...", "detected": "2026-09-21" }, { "id": "qwen/qwen3.8-omni-flash", "name": "Qwen: Qwen3.8 Omni Flash", "provider": "Qwen (Alibaba)", "created": 1789959954, "created_date": "2026-09-21", "context_length": 1000000, "price_input": 0.15, "price_output": 0.47, "free": false, "modality": "text+image+audio+video->text", "input_modalities": [ "text", "image", "audio", "video" ], "output_modalities": [ "text" ], "modality_tags": [ "texto", "imagem", "audio", "video", "multimodal" ], "description": "Qwen3.8 Omni Flash is an omni-modal reasoning model from Alibaba, the first Qwen model built around agentic capabilities with native audio-video understanding. It is suited for audio-video analysis and summarization,...", "detected": "2026-09-21" }, { "id": "prism-ml/ternary-bonsai-2-27b", "name": "PrismML: Ternary Bonsai 2 27B", "provider": "PrismML", "created": 1789754046, "created_date": "2026-09-18", "context_length": 262144, "price_input": 0.075, "price_output": 0.5, "free": false, "modality": "text+image->text", "input_modalities": [ "text", "image" ], "output_modalities": [ "text" ], "modality_tags": [ "texto", "imagem", "multimodal" ], "description": "Bonsai 2 27B is a 27B-parameter reasoning model from PrismML derived from Qwen3.8-27B. It supports coding, mathematics, tool calling, and image understanding with a 262K-token context window. Ternary compression shrinks...", "detected": "2026-09-18" }, { "id": "z-ai/glm-5.3-flashx", "name": "Z.ai: GLM 5.3 FlashX", "provider": "Z.ai (Zhipu)", "created": 1789744020, "created_date": "2026-09-18", "context_length": 1048576, "price_input": 0.37, "price_output": 1.25, "free": false, "modality": "text+image+video->text", "input_modalities": [ "text", "image", "video" ], "output_modalities": [ "text" ], "modality_tags": [ "texto", "imagem", "video", "multimodal" ], "description": "GLM-5.3-FlashX is the high-speed variant of Z.ai's GLM-5.3-Flash, a native multimodal model delivering inference speeds of up to 200 tokens/s. Built on the same hybrid sparse and linear attention architecture...", "detected": "2026-09-18" }, { "id": "unbiased/pareto", "name": "Pareto", "provider": "unbiased", "created": 1789686178, "created_date": "2026-09-17", "context_length": 262144, "price_input": 2.5, "price_output": 7.5, "free": false, "modality": "text+image->text", "input_modalities": [ "text", "image" ], "output_modalities": [ "text" ], "modality_tags": [ "texto", "imagem", "multimodal" ], "description": "Pareto is a multimodal composite model built for research, coding, and agentic workflows, while delivering frontier-level performance across a broad range of general-purpose tasks.", "detected": "2026-09-17" }, { "id": "~deepseek/deepseek-pro-latest", "name": "DeepSeek: DeepSeek Pro Latest", "provider": "DeepSeek", "created": 1789399174, "created_date": "2026-09-14", "context_length": 1048576, "price_input": 0.4, "price_output": 4.3, "free": false, "modality": "text->text", "input_modalities": [ "text" ], "output_modalities": [ "text" ], "modality_tags": [ "texto" ], "description": "This model always redirects to the latest model in the DeepSeek Pro family.", "detected": "2026-09-14" }, { "id": "~deepseek/deepseek-flash-latest", "name": "DeepSeek: DeepSeek Flash Latest", "provider": "DeepSeek", "created": 1789399150, "created_date": "2026-09-14", "context_length": 1048576, "price_input": 0.1, "price_output": 0.5, "free": false, "modality": "text+image->text", "input_modalities": [ "text", "image" ], "output_modalities": [ "text" ], "modality_tags": [ "texto", "imagem", "multimodal" ], "description": "This model always redirects to the latest model in the DeepSeek Flash family.", "detected": "2026-09-14" }, { "id": "inference-net/schematron-v2-turbo", "name": "Inference.net: Schematron V2 Turbo", "provider": "Inference.net", "created": 1789176949, "created_date": "2026-09-11", "context_length": 128000, "price_input": 0.03, "price_output": 0.15, "free": false, "modality": "text->text", "input_modalities": [ "text" ], "output_modalities": [ "text" ], "modality_tags": [ "texto" ], "description": "Schematron V2 Turbo is a 3B-parameter HTML-to-JSON extraction model from Inference.net. It prioritizes throughput for high-volume extraction workloads. Extraction instructions must be supplied through a JSON schema in response_format rather...", "detected": "2026-09-11" }, { "id": "inference-net/schematron-v2-small", "name": "Inference.net: Schematron V2 Small", "provider": "Inference.net", "created": 1789176933, "created_date": "2026-09-11", "context_length": 128000, "price_input": 0.05, "price_output": 0.23, "free": false, "modality": "text->text", "input_modalities": [ "text" ], "output_modalities": [ "text" ], "modality_tags": [ "texto" ], "description": "Schematron V2 Small is a 3B-parameter HTML-to-JSON extraction model from Inference.net. It prioritizes extraction quality for complex schemas and long pages. Extraction instructions must be supplied through a JSON schema...", "detected": "2026-09-11" }, { "id": "~openai/gpt-astra-latest", "name": "OpenAI: GPT Astra Latest", "provider": "OpenAI", "created": 1789130932, "created_date": "2026-09-11", "context_length": 1050000, "price_input": 10.0, "price_output": 50.0, "free": false, "modality": "text+image+file->text", "input_modalities": [ "file", "image", "text" ], "output_modalities": [ "text" ], "modality_tags": [ "texto", "imagem", "arquivo", "multimodal" ], "description": "This model always redirects to the latest model in the GPT Astra family.", "detected": "2026-09-11" }, { "id": "~openai/gpt-sol-latest", "name": "OpenAI: GPT Sol Latest", "provider": "OpenAI", "created": 1789130928, "created_date": "2026-09-11", "context_length": 1050000, "price_input": 2.0, "price_output": 10.0, "free": false, "modality": "text+image+file->text", "input_modalities": [ "file", "image", "text" ], "output_modalities": [ "text" ], "modality_tags": [ "texto", "imagem", "arquivo", "multimodal" ], "description": "This model always redirects to the latest model in the GPT Sol family.", "detected": "2026-09-11" }, { "id": "~openai/gpt-terra-latest", "name": "OpenAI: GPT Terra Latest", "provider": "OpenAI", "created": 1789130925, "created_date": "2026-09-11", "context_length": 1050000, "price_input": 2.0, "price_output": 12.0, "free": false, "modality": "text+image+file->text", "input_modalities": [ "file", "image", "text" ], "output_modalities": [ "text" ], "modality_tags": [ "texto", "imagem", "arquivo", "multimodal" ], "description": "This model always redirects to the latest model in the GPT Terra family.", "detected": "2026-09-11" }, { "id": "~openai/gpt-luna-latest", "name": "OpenAI: GPT Luna Latest", "provider": "OpenAI", "created": 1789130922, "created_date": "2026-09-11", "context_length": 1050000, "price_input": 0.1, "price_output": 0.5, "free": false, "modality": "text+image+file->text", "input_modalities": [ "file", "image", "text" ], "output_modalities": [ "text" ], "modality_tags": [ "texto", "imagem", "arquivo", "multimodal" ], "description": "This model always redirects to the latest model in the GPT Luna family.", "detected": "2026-09-11" }, { "id": "sakana/fugu-ultra-v2", "name": "Sakana: Fugu Ultra v2", "provider": "Sakana", "created": 1789105383, "created_date": "2026-09-11", "context_length": 1000000, "price_input": 5.0, "price_output": 30.0, "free": false, "modality": "text+image+file->text", "input_modalities": [ "text", "image", "file" ], "output_modalities": [ "text" ], "modality_tags": [ "texto", "imagem", "arquivo", "multimodal" ], "description": "Fugu Ultra v2 is the higher-performance model in Sakana AI's Fugu family. Rather than a single monolithic model, Fugu is a learned multi-agent orchestration system: a language model trained to...", "detected": "2026-09-11" }, { "id": "sakana/fugu-max", "name": "Sakana: Fugu Max", "provider": "Sakana", "created": 1789104771, "created_date": "2026-09-11", "context_length": 1000000, "price_input": 2.0, "price_output": 6.0, "free": false, "modality": "text+image+file->text", "input_modalities": [ "text", "image", "file" ], "output_modalities": [ "text" ], "modality_tags": [ "texto", "imagem", "arquivo", "multimodal" ], "description": "Fugu Max is the cost-performance model in Sakana AI's Fugu family. Rather than a single monolithic model, Fugu is a learned multi-agent orchestration system: a language model trained to route...", "detected": "2026-09-11" }, { "id": "inclusionai/ling-3.0-flash-vl", "name": "inclusionAI: Ling 3.0 Flash VL", "provider": "inclusionAI", "created": 1789056114, "created_date": "2026-09-10", "context_length": 131072, "price_input": 0.06, "price_output": 0.18, "free": false, "modality": "text+image+video->text", "input_modalities": [ "text", "image", "video" ], "output_modalities": [ "text" ], "modality_tags": [ "texto", "imagem", "video", "multimodal" ], "description": "Ling 3.0 Flash VL builds on Ling 3.0 Flash (124B total / 5.5B active MoE from InclusionAI), further strengthening its language capabilities while adding native visual perception and advanced visual...", "detected": "2026-09-10" }, { "id": "inclusionai/ling-3.0-flash-vl:free", "name": "inclusionAI: Ling 3.0 Flash VL (free)", "provider": "inclusionAI", "created": 1789056114, "created_date": "2026-09-10", "context_length": 262144, "price_input": 0.0, "price_output": 0.0, "free": true, "modality": "text+image+video->text", "input_modalities": [ "text", "image", "video" ], "output_modalities": [ "text" ], "modality_tags": [ "texto", "imagem", "video", "multimodal" ], "description": "Ling 3.0 Flash VL builds on Ling 3.0 Flash (124B total / 5.5B active MoE from InclusionAI), further strengthening its language capabilities while adding native visual perception and advanced visual...", "detected": "2026-09-10" }, { "id": "deepseek/deepseek-v4.1-flash", "name": "DeepSeek: DeepSeek V4.1 Flash", "provider": "DeepSeek", "created": 1789021285, "created_date": "2026-09-10", "context_length": 1048576, "price_input": 0.1, "price_output": 0.5, "free": false, "modality": "text+image->text", "input_modalities": [ "text", "image" ], "output_modalities": [ "text" ], "modality_tags": [ "texto", "imagem", "multimodal" ], "description": "DeepSeek V4.1 Flash is a sparse mixture-of-experts model from DeepSeek, and the first built on the company's Causal Encoder-Decoder (CED) architecture. It activates 8B parameters on input and 16B on...", "detected": "2026-09-10" }, { "id": "inception/mercury-2.5", "name": "Inception: Mercury 2.5", "provider": "Inception", "created": 1788892137, "created_date": "2026-09-08", "context_length": 260000, "price_input": 0.04, "price_output": 0.15, "free": false, "modality": "text->text", "input_modalities": [ "text" ], "output_modalities": [ "text" ], "modality_tags": [ "texto" ], "description": "Mercury 2.5 is the fastest reasoning LLM, and the latest diffusion LLM (dLLM) from Inception. Instead of generating tokens sequentially, Mercury 2.5 produces and refines multiple tokens in parallel, achieving...", "detected": "2026-09-08" }, { "id": "nex-agi/nex-n2.5-mini", "name": "Nex AGI: Nex-N2.5-Mini", "provider": "Nex AGI", "created": 1788890061, "created_date": "2026-09-08", "context_length": 262144, "price_input": 0.025, "price_output": 0.1, "free": false, "modality": "text+image->text", "input_modalities": [ "text", "image" ], "output_modalities": [ "text" ], "modality_tags": [ "texto", "imagem", "multimodal" ], "description": "Nex-N2.5 is an agentic model built to turn goals into working, verified outcomes. Its core strength is agentic coding within a visual feedback loop: it can explore codebases, implement multi-file...", "detected": "2026-09-08" }, { "id": "nex-agi/nex-n2.5-mini:free", "name": "Nex AGI: Nex-N2.5-Mini (free)", "provider": "Nex AGI", "created": 1788890061, "created_date": "2026-09-08", "context_length": 262144, "price_input": 0.0, "price_output": 0.0, "free": true, "modality": "text+image->text", "input_modalities": [ "text", "image" ], "output_modalities": [ "text" ], "modality_tags": [ "texto", "imagem", "multimodal" ], "description": "Nex-N2.5 is an agentic model built to turn goals into working, verified outcomes. Its core strength is agentic coding within a visual feedback loop: it can explore codebases, implement multi-file...", "detected": "2026-09-08" }, { "id": "nex-agi/nex-n2.5-pro", "name": "Nex AGI: Nex-N2.5-Pro", "provider": "Nex AGI", "created": 1788890050, "created_date": "2026-09-08", "context_length": 262144, "price_input": 0.075, "price_output": 0.25, "free": false, "modality": "text+image->text", "input_modalities": [ "text", "image" ], "output_modalities": [ "text" ], "modality_tags": [ "texto", "imagem", "multimodal" ], "description": "Nex-N2.5 is an agentic model built to turn goals into working, verified outcomes. Its core strength is agentic coding within a visual feedback loop: it can explore codebases, implement multi-file...", "detected": "2026-09-08" }, { "id": "nex-agi/nex-n2.5-pro:free", "name": "Nex AGI: Nex-N2.5-Pro (free)", "provider": "Nex AGI", "created": 1788890050, "created_date": "2026-09-08", "context_length": 262144, "price_input": 0.0, "price_output": 0.0, "free": true, "modality": "text+image->text", "input_modalities": [ "text", "image" ], "output_modalities": [ "text" ], "modality_tags": [ "texto", "imagem", "multimodal" ], "description": "Nex-N2.5 is an agentic model built to turn goals into working, verified outcomes. Its core strength is agentic coding within a visual feedback loop: it can explore codebases, implement multi-file...", "detected": "2026-09-08" }, { "id": "openai/gpt-6-astra", "name": "OpenAI: GPT-6 Astra", "provider": "OpenAI", "created": 1788552838, "created_date": "2026-09-04", "context_length": 1050000, "price_input": 10.0, "price_output": 50.0, "free": false, "modality": "text+image+file->text", "input_modalities": [ "file", "image", "text" ], "output_modalities": [ "text" ], "modality_tags": [ "texto", "imagem", "arquivo", "multimodal" ], "description": "GPT-6 Astra is OpenAI's flagship model for demanding end-to-end work. It is suited for advanced analysis, software engineering, deep research, scientific work, and document creation, with particular strengths in long-horizon...", "detected": "2026-09-04" }, { "id": "openai/gpt-6-astra-pro", "name": "OpenAI: GPT-6 Astra Pro", "provider": "OpenAI", "created": 1788552835, "created_date": "2026-09-04", "context_length": 1050000, "price_input": 10.0, "price_output": 50.0, "free": false, "modality": "text+image+file->text", "input_modalities": [ "file", "image", "text" ], "output_modalities": [ "text" ], "modality_tags": [ "texto", "imagem", "arquivo", "multimodal" ], "description": "GPT-6 Astra Pro is the same underlying model as [GPT-6 Astra](https://openrouter.ai/openai/gpt-6-astra), served with `reasoning.mode` set to `pro` for higher-quality responses on complex tasks.\n\nLearn more in OpenAI's docs: https://developers.openai.com/api/docs/guides/reasoning#reasoning-mode", "detected": "2026-09-04" }, { "id": "inclusionai/ling-3.0-flash-sante:free", "name": "inclusionAI: Ling 3.0 Flash Sante (free)", "provider": "inclusionAI", "created": 1788545946, "created_date": "2026-09-04", "context_length": 262144, "price_input": 0.0, "price_output": 0.0, "free": true, "modality": "text->text", "input_modalities": [ "text" ], "output_modalities": [ "text" ], "modality_tags": [ "texto" ], "description": "Ling 3.0 Flash Sante is a health and medicine-focused mixture-of-experts model from InclusionAI, built on Ling 3.0 Flash with 5.1B active parameters out of 124B total. It is designed for...", "detected": "2026-09-04" }, { "id": "qwen/qwen3.8-max-0902", "name": "Qwen: Qwen3.8 Max (0902)", "provider": "Qwen (Alibaba)", "created": 1788469704, "created_date": "2026-09-03", "context_length": 1000000, "price_input": 2.0, "price_output": 6.0, "free": false, "modality": "text+image+video->text", "input_modalities": [ "text", "image", "video" ], "output_modalities": [ "text" ], "modality_tags": [ "texto", "imagem", "video", "multimodal" ], "description": "Qwen3.8 Max 0902 is an updated snapshot of Qwen3.8 Max from Alibaba's Qwen team. It is a 2.4-trillion-parameter mixture-of-experts model that accepts text, image, and video input and returns text,...", "detected": "2026-09-03" }, { "id": "meta/muse-spark-1.3-contributor", "name": "Meta: Muse Spark 1.3 Contributor", "provider": "Meta", "created": 1788381519, "created_date": "2026-09-02", "context_length": 1048576, "price_input": 0.1, "price_output": 0.2, "free": false, "modality": "text+image+file+audio+video->text", "input_modalities": [ "text", "image", "video", "file", "audio" ], "output_modalities": [ "text" ], "modality_tags": [ "texto", "imagem", "audio", "video", "arquivo", "multimodal" ], "description": "Muse Spark 1.3 Contributor is the cost-efficient contributor tier of Meta’s multimodal reasoning model for experimentation, learning, and early-stage agentic, multi-agent, and coding workflows. It is designed to track information...", "detected": "2026-09-02" }, { "id": "meta/muse-spark-1.3", "name": "Meta: Muse Spark 1.3", "provider": "Meta", "created": 1788378359, "created_date": "2026-09-02", "context_length": 1048576, "price_input": 1.25, "price_output": 4.25, "free": false, "modality": "text+image+file+audio+video->text", "input_modalities": [ "text", "image", "video", "file", "audio" ], "output_modalities": [ "text" ], "modality_tags": [ "texto", "imagem", "audio", "video", "arquivo", "multimodal" ], "description": "Muse Spark 1.3 is a multimodal reasoning model from Meta for long-running agentic, multi-agent, and coding workflows. It is designed to keep track of information across extended tasks, work through...", "detected": "2026-09-02" }, { "id": "google/gemini-3.8-flash", "name": "Google: Gemini 3.8 Flash", "provider": "Google", "created": 1788362056, "created_date": "2026-09-02", "context_length": 1048576, "price_input": 0.75, "price_output": 3.75, "free": false, "modality": "text+image+file+audio+video->text", "input_modalities": [ "text", "image", "video", "file", "audio" ], "output_modalities": [ "text" ], "modality_tags": [ "texto", "imagem", "audio", "video", "arquivo", "multimodal" ], "description": "Gemini 3.8 Flash is Google's most intelligent Flash model with significant gains from 3.7 Flash across software engineering, agentic tasks, and multi-step reasoning.", "detected": "2026-09-02" }, { "id": "anthropic/claude-fable-5.1", "name": "Anthropic: Claude Fable 5.1", "provider": "Anthropic", "created": 1788285838, "created_date": "2026-09-01", "context_length": 1000000, "price_input": 10.0, "price_output": 50.0, "free": false, "modality": "text+image+file->text", "input_modalities": [ "text", "image", "file" ], "output_modalities": [ "text" ], "modality_tags": [ "texto", "imagem", "arquivo", "multimodal" ], "description": "Claude Fable 5.1 improves on Claude Fable 5 across the board, with the biggest gains in agentic coding, long-running agentic workflows, and knowledge work: long code refactors, front-end and visual...", "detected": "2026-09-01" }, { "id": "ibm-granite/granite-4.2-8b", "name": "IBM: Granite 4.2 8B", "provider": "IBM", "created": 1788206780, "created_date": "2026-08-31", "context_length": 131072, "price_input": 0.06, "price_output": 0.25, "free": false, "modality": "text->text", "input_modalities": [ "text" ], "output_modalities": [ "text" ], "modality_tags": [ "texto" ], "description": "Granite 4.2 8B is a dense reasoning model from IBM. It is suited for mathematics, code generation, multilingual dialogue, and agentic workflows that need multi-step reasoning. It supports full, low-effort,...", "detected": "2026-08-31" }, { "id": "tencent/hy4-preview", "name": "Tencent: Hy4 preview", "provider": "Tencent", "created": 1787897375, "created_date": "2026-08-28", "context_length": 1048576, "price_input": 0.834, "price_output": 2.501, "free": false, "modality": "text->text", "input_modalities": [ "text" ], "output_modalities": [ "text" ], "modality_tags": [ "texto" ], "description": "Tencent: Hy4 preview is a mixture-of-experts model from Tencent, with 49B active parameters out of 770B total. It is designed for coding agents, complex tool-use workflows, and productivity tasks that...", "detected": "2026-08-28" }, { "id": "inclusionai/ling-3.0-flash-fin", "name": "inclusionAI: Ling 3.0 Flash Fin", "provider": "inclusionAI", "created": 1787846290, "created_date": "2026-08-27", "context_length": 262144, "price_input": 0.06, "price_output": 0.18, "free": false, "modality": "text->text", "input_modalities": [ "text" ], "output_modalities": [ "text" ], "modality_tags": [ "texto" ], "description": "Ling 3.0 Flash Fin is a finance-focused mixture-of-experts model from InclusionAI, built on Ling 3.0 Flash with 5.1B active parameters out of 124B total. It is designed for real-world investment...", "detected": "2026-08-27" }, { "id": "inclusionai/ling-3.0-flash-fin:free", "name": "inclusionAI: Ling 3.0 Flash Fin (free)", "provider": "inclusionAI", "created": 1787846290, "created_date": "2026-08-27", "context_length": 262144, "price_input": 0.0, "price_output": 0.0, "free": true, "modality": "text->text", "input_modalities": [ "text" ], "output_modalities": [ "text" ], "modality_tags": [ "texto" ], "description": "Ling 3.0 Flash Fin is a finance-focused mixture-of-experts model from InclusionAI, built on Ling 3.0 Flash with 5.1B active parameters out of 124B total. It is designed for real-world investment...", "detected": "2026-08-27" }, { "id": "~z-ai/glm-flash-latest", "name": "Z.ai: GLM Flash Latest", "provider": "Z.ai (Zhipu)", "created": 1787817633, "created_date": "2026-08-27", "context_length": 1310720, "price_input": 0.075, "price_output": 0.25, "free": false, "modality": "text+image+video->text", "input_modalities": [ "text", "image", "video" ], "output_modalities": [ "text" ], "modality_tags": [ "texto", "imagem", "video", "multimodal" ], "description": "This model always redirects to the latest model in the GLM Flash family.", "detected": "2026-08-27" }, { "id": "qwen/qwen3.8-flash", "name": "Qwen: Qwen3.8 Flash", "provider": "Qwen (Alibaba)", "created": 1787773060, "created_date": "2026-08-26", "context_length": 1000000, "price_input": 0.15, "price_output": 0.47, "free": false, "modality": "text+image+video->text", "input_modalities": [ "text", "image", "video" ], "output_modalities": [ "text" ], "modality_tags": [ "texto", "imagem", "video", "multimodal" ], "description": "Qwen3.8 Flash is a multimodal reasoning model from Alibaba. It is suited for coding assistance, agentic workflows, visual understanding, document and codebase analysis, desktop interaction, chart analysis, and long-video analysis.", "detected": "2026-08-26" }, { "id": "z-ai/glm-5.3-flash", "name": "Z.ai: GLM 5.3 Flash", "provider": "Z.ai (Zhipu)", "created": 1787752741, "created_date": "2026-08-26", "context_length": 1310720, "price_input": 0.15, "price_output": 0.5, "free": false, "modality": "text+image+video->text", "input_modalities": [ "text", "image", "video" ], "output_modalities": [ "text" ], "modality_tags": [ "texto", "imagem", "video", "multimodal" ], "description": "GLM-5.3-Flash is a native multimodal model from Z.ai. It is suited for efficient coding and long-horizon agent tasks. Its hybrid sparse and linear attention architecture maintains accurate long-context behavior while...", "detected": "2026-08-26" } ], "price_changes": [ { "id": "~deepseek/deepseek-pro-latest", "name": "DeepSeek: DeepSeek Pro Latest", "provider": "DeepSeek", "detected": "2026-09-23", "changes": { "price_output": { "from": 1.1999, "to": 4.3 } } }, { "id": "~z-ai/glm-latest", "name": "Z.ai: GLM Latest", "provider": "Z.ai (Zhipu)", "detected": "2026-09-23", "changes": { "price_output": { "from": 1.7644, "to": 2.5 } } }, { "id": "z-ai/glm-5.3", "name": "Z.ai: GLM 5.3", "provider": "Z.ai (Zhipu)", "detected": "2026-09-23", "changes": { "price_input": { "from": 0.5614, "to": 0.84 }, "price_output": { "from": 1.7644, "to": 2.64 } } }, { "id": "deepseek/deepseek-v4-pro-0813", "name": "DeepSeek: DeepSeek V4 Pro 0813", "provider": "DeepSeek", "detected": "2026-09-23", "changes": { "price_input": { "from": 0.66, "to": 1.32 }, "price_output": { "from": 1.98, "to": 3.96 } } }, { "id": "~deepseek/deepseek-v4-flash-latest", "name": "DeepSeek: DeepSeek V4 Flash Latest", "provider": "DeepSeek", "detected": "2026-09-23", "changes": { "price_input": { "from": 0.03, "to": 0.038 }, "price_output": { "from": 0.8, "to": 0.55 } } }, { "id": "tencent/hy3", "name": "Tencent: Hy3", "provider": "Tencent", "detected": "2026-09-23", "changes": { "price_input": { "from": 0.0825, "to": 0.132 }, "price_output": { "from": 0.33, "to": 0.528 } } }, { "id": "~moonshotai/kimi-latest", "name": "MoonshotAI: Kimi Latest", "provider": "Moonshot", "detected": "2026-09-23", "changes": { "price_output": { "from": 7.5, "to": 10.758 } } }, { "id": "deepseek/deepseek-v4-pro", "name": "DeepSeek: DeepSeek V4 Pro 0423", "provider": "DeepSeek", "detected": "2026-09-23", "changes": { "price_input": { "from": 0.8636, "to": 0.9553 }, "price_output": { "from": 1.7271, "to": 1.9105 } } }, { "id": "deepseek/deepseek-v4-flash", "name": "DeepSeek: DeepSeek V4 Flash 0423", "provider": "DeepSeek", "detected": "2026-09-23", "changes": { "price_input": { "from": 0.049, "to": 0.0886 }, "price_output": { "from": 0.098, "to": 0.1772 } } }, { "id": "~deepseek/deepseek-flash-latest", "name": "DeepSeek: DeepSeek Flash Latest", "provider": "DeepSeek", "detected": "2026-09-22", "changes": { "price_input": { "from": 0.12, "to": 0.1 } } }, { "id": "deepseek/deepseek-v4.1-flash", "name": "DeepSeek: DeepSeek V4.1 Flash", "provider": "DeepSeek", "detected": "2026-09-22", "changes": { "price_input": { "from": 0.15, "to": 0.1 }, "price_output": { "from": 0.6, "to": 0.5 } } }, { "id": "~z-ai/glm-latest", "name": "Z.ai: GLM Latest", "provider": "Z.ai (Zhipu)", "detected": "2026-09-22", "changes": { "price_input": { "from": 0.6538, "to": 0.5614 }, "price_output": { "from": 2.0548, "to": 1.7644 } } }, { "id": "z-ai/glm-5.3", "name": "Z.ai: GLM 5.3", "provider": "Z.ai (Zhipu)", "detected": "2026-09-22", "changes": { "price_input": { "from": 0.6538, "to": 0.5614 }, "price_output": { "from": 2.0548, "to": 1.7644 } } }, { "id": "~moonshotai/kimi-latest", "name": "MoonshotAI: Kimi Latest", "provider": "Moonshot", "detected": "2026-09-22", "changes": { "price_output": { "from": 13.0, "to": 7.5 } } } ], "removed_models": [] }