{"data":{"id":"meta","name":"Meta","website":"https://ai.meta.com","categories":["audio","text","image","video"],"docs_url":"https://www.llama.com","notes":"Live OpenRouter feed. Prices are OpenRouter list rates, not a contract with the origin lab.","role":"lab","models":[{"id":"meta-llama/llama-3.1-70b-instruct","provider_id":"meta","name":"Meta: Llama 3.1 70B Instruct","modalities":["text"],"context_window":131072,"family":"llama-3.1-70b-instruct","status":"active","description":"Meta's latest class of model (Llama 3.1) launched with a variety of sizes & flavors. This 70B instruct-tuned version is optimized for high quality dialogue usecases. It has demonstrated strong...","architecture":{"modality":"text->text","input_modalities":["text"],"output_modalities":["text"],"tokenizer":"Llama3","instruct_type":"llama3"},"supported_parameters":["frequency_penalty","logit_bias","max_tokens","min_p","presence_penalty","repetition_penalty","response_format","seed","stop","structured_outputs","temperature","tool_choice","tools","top_k","top_p"],"created_at":1721692800,"canonical_slug":"meta-llama/llama-3.1-70b-instruct","catalog_source":"openrouter","host_id":"openrouter","host_name":"OpenRouter","creator_id":"meta","creator_name":"Meta","cheapest_provider":"deepinfra","cheapest_provider_name":"DeepInfra","cheapest_price":0.4,"savings_pct":null,"savings_basis":null},{"id":"meta-llama/llama-3.1-8b-instruct","provider_id":"meta","name":"Meta: Llama 3.1 8B Instruct","modalities":["text"],"context_window":131072,"family":"llama-3.1-8b-instruct","status":"active","description":"Meta's latest class of model (Llama 3.1) launched with a variety of sizes & flavors. This 8B instruct-tuned version is fast and efficient. It has demonstrated strong performance compared to...","architecture":{"modality":"text->text","input_modalities":["text"],"output_modalities":["text"],"tokenizer":"Llama3","instruct_type":"llama3"},"supported_parameters":["frequency_penalty","logit_bias","logprobs","max_tokens","min_p","presence_penalty","repetition_penalty","response_format","seed","stop","structured_outputs","temperature","tool_choice","tools","top_k","top_logprobs","top_p"],"created_at":1721692800,"canonical_slug":"meta-llama/llama-3.1-8b-instruct","catalog_source":"openrouter","host_id":"openrouter","host_name":"OpenRouter","creator_id":"meta","creator_name":"Meta","cheapest_provider":"deepinfra","cheapest_provider_name":"DeepInfra","cheapest_price":0.025,"savings_pct":56.5,"savings_basis":"openrouter"},{"id":"meta-llama/llama-3.2-1b-instruct","provider_id":"meta","name":"Meta: Llama 3.2 1B Instruct","modalities":["text"],"context_window":60000,"family":"llama-3.2-1b-instruct","status":"active","description":"Llama 3.2 1B is a 1-billion-parameter language model focused on efficiently performing natural language tasks, such as summarization, dialogue, and multilingual text analysis. Its smaller size allows it to operate...","architecture":{"modality":"text->text","input_modalities":["text"],"output_modalities":["text"],"tokenizer":"Llama3","instruct_type":"llama3"},"supported_parameters":["frequency_penalty","logit_bias","max_tokens","min_p","presence_penalty","repetition_penalty","seed","stop","temperature","top_k","top_p"],"created_at":1727222400,"canonical_slug":"meta-llama/llama-3.2-1b-instruct","catalog_source":"openrouter","host_id":"openrouter","host_name":"OpenRouter","creator_id":"meta","creator_name":"Meta","cheapest_provider":"novita","cheapest_provider_name":"Novita","cheapest_price":0.02,"savings_pct":71.6,"savings_basis":"openrouter"},{"id":"meta-llama/llama-3.2-3b-instruct","provider_id":"meta","name":"Meta: Llama 3.2 3B Instruct","modalities":["text"],"context_window":131072,"family":"llama-3.2-3b-instruct","status":"active","description":"Llama 3.2 3B is a 3-billion-parameter multilingual large language model, optimized for advanced natural language processing tasks like dialogue generation, reasoning, and summarization. Designed with the latest transformer architecture, it...","architecture":{"modality":"text->text","input_modalities":["text"],"output_modalities":["text"],"tokenizer":"Llama3","instruct_type":"llama3"},"supported_parameters":["frequency_penalty","logit_bias","logprobs","max_tokens","min_p","presence_penalty","repetition_penalty","seed","stop","structured_outputs","temperature","top_k","top_logprobs","top_p"],"created_at":1727222400,"canonical_slug":"meta-llama/llama-3.2-3b-instruct","catalog_source":"openrouter","host_id":"openrouter","host_name":"OpenRouter","creator_id":"meta","creator_name":"Meta","cheapest_provider":"together","cheapest_provider_name":"Together","cheapest_price":0.06,"savings_pct":50,"savings_basis":"openrouter"},{"id":"meta-llama/llama-3.3-70b-instruct","provider_id":"meta","name":"Meta: Llama 3.3 70B Instruct","modalities":["text"],"context_window":131072,"family":"llama-3.3-70b-instruct","status":"active","description":"The Meta Llama 3.3 multilingual large language model (LLM) is a pretrained and instruction tuned generative model in 70B (text in/text out). The Llama 3.3 instruction tuned text only model...","architecture":{"modality":"text->text","input_modalities":["text"],"output_modalities":["text"],"tokenizer":"Llama3","instruct_type":"llama3"},"supported_parameters":["frequency_penalty","logit_bias","logprobs","max_tokens","min_p","presence_penalty","repetition_penalty","response_format","seed","stop","structured_outputs","temperature","tool_choice","tools","top_k","top_logprobs","top_p"],"created_at":1733506137,"canonical_slug":"meta-llama/llama-3.3-70b-instruct","catalog_source":"openrouter","host_id":"openrouter","host_name":"OpenRouter","creator_id":"meta","creator_name":"Meta","cheapest_provider":"deepinfra","cheapest_provider_name":"DeepInfra","cheapest_price":0.155,"savings_pct":null,"savings_basis":null},{"id":"meta-llama/llama-4-maverick","provider_id":"meta","name":"Meta: Llama 4 Maverick","modalities":["text","image"],"context_window":524288,"family":"llama-4-maverick","status":"active","description":"Llama 4 Maverick 17B Instruct (128E) is a high-capacity multimodal language model from Meta, built on a mixture-of-experts (MoE) architecture with 128 experts and 17 billion active parameters per forward...","architecture":{"modality":"text+image->text","input_modalities":["text","image"],"output_modalities":["text"],"tokenizer":"Llama4","instruct_type":null},"supported_parameters":["frequency_penalty","logit_bias","logprobs","max_tokens","presence_penalty","repetition_penalty","response_format","seed","stop","structured_outputs","temperature","tool_choice","tools","top_k","top_logprobs","top_p"],"created_at":1743881822,"canonical_slug":"meta-llama/llama-4-maverick-17b-128e-instruct","catalog_source":"openrouter","host_id":"openrouter","host_name":"OpenRouter","creator_id":"meta","creator_name":"Meta","cheapest_provider":"digitalocean","cheapest_provider_name":"DigitalOcean","cheapest_price":0.30375,"savings_pct":null,"savings_basis":null},{"id":"meta-llama/llama-4-scout","provider_id":"meta","name":"Meta: Llama 4 Scout","modalities":["text","image"],"context_window":1310720,"family":"llama-4-scout","status":"active","description":"Llama 4 Scout 17B Instruct (16E) is a mixture-of-experts (MoE) language model developed by Meta, activating 17 billion parameters out of a total of 109B. It supports native multimodal input...","architecture":{"modality":"text+image->text","input_modalities":["text","image"],"output_modalities":["text"],"tokenizer":"Llama4","instruct_type":null},"supported_parameters":["frequency_penalty","logit_bias","max_tokens","min_p","presence_penalty","repetition_penalty","response_format","seed","stop","structured_outputs","temperature","tool_choice","tools","top_k","top_p"],"created_at":1743881519,"canonical_slug":"meta-llama/llama-4-scout-17b-16e-instruct","catalog_source":"openrouter","host_id":"openrouter","host_name":"OpenRouter","creator_id":"meta","creator_name":"Meta","cheapest_provider":"deepinfra","cheapest_provider_name":"DeepInfra","cheapest_price":0.12,"savings_pct":20,"savings_basis":"openrouter"},{"id":"meta-llama/llama-guard-4-12b","provider_id":"meta","name":"Meta: Llama Guard 4 12B","modalities":["image","text"],"context_window":163840,"family":"llama-guard-4-12b","status":"active","description":"Llama Guard 4 is a Llama 4 Scout-derived multimodal pretrained model, fine-tuned for content safety classification. Similar to previous versions, it can be used to classify content in both LLM...","architecture":{"modality":"text+image->text","input_modalities":["image","text"],"output_modalities":["text"],"tokenizer":"Other","instruct_type":null},"supported_parameters":["frequency_penalty","logit_bias","max_tokens","min_p","presence_penalty","repetition_penalty","seed","stop","temperature","top_k","top_p"],"created_at":1745975193,"canonical_slug":"meta-llama/llama-guard-4-12b","catalog_source":"openrouter","host_id":"openrouter","host_name":"OpenRouter","creator_id":"meta","creator_name":"Meta","cheapest_provider":"deepinfra","cheapest_provider_name":"DeepInfra","cheapest_price":0.144,"savings_pct":20,"savings_basis":"openrouter"},{"id":"meta/muse-glimmer-30b","provider_id":"meta","name":"Meta: Muse Glimmer 30B","modalities":["text","image"],"context_window":131072,"family":"muse-glimmer-30b","status":"active","description":"Muse Glimmer 30B is a dense, open-weight multimodal model from Meta Superintelligence Labs, distilled from Muse Spark and optimized for autonomous agents on consumer hardware. It is suited for long-horizon...","architecture":{"modality":"text+image->text","input_modalities":["text","image"],"output_modalities":["text"],"tokenizer":"Other","instruct_type":null},"supported_parameters":["frequency_penalty","include_reasoning","logit_bias","max_tokens","min_p","presence_penalty","reasoning","reasoning_effort","repetition_penalty","response_format","seed","stop","structured_outputs","temperature","tool_choice","tools","top_k","top_p"],"created_at":1786302394,"canonical_slug":"meta/muse-glimmer-30b-20260810","catalog_source":"openrouter","host_id":"openrouter","host_name":"OpenRouter","creator_id":"meta","creator_name":"Meta","cheapest_provider":"deepinfra","cheapest_provider_name":"DeepInfra","cheapest_price":0.525,"savings_pct":null,"savings_basis":null},{"id":"meta/muse-image","provider_id":"meta","name":"Meta: Muse Image","modalities":["text","image"],"context_window":65536,"family":"muse-image","status":"active","description":"Muse Image is an agentic image generation model from Meta that generates and edits images from text and reference images. Unlike single-pass image models, it reasons before it renders, breaking...","architecture":{"modality":"text+image->image","input_modalities":["text","image"],"output_modalities":["image"],"tokenizer":"Other","instruct_type":null},"supported_parameters":["max_tokens","repetition_penalty","temperature","top_k","top_p"],"created_at":1787764532,"canonical_slug":"meta/muse-image-1.0-eval-20260824","catalog_source":"openrouter","host_id":"openrouter","host_name":"OpenRouter","creator_id":"meta","creator_name":"Meta","cheapest_provider":"meta","cheapest_provider_name":"Meta","cheapest_price":0,"savings_pct":null,"savings_basis":null},{"id":"meta/muse-spark-1.1","provider_id":"meta","name":"Meta: Muse Spark 1.1","modalities":["text","image","video"],"context_window":1048576,"family":"muse-spark-1.1","status":"active","description":"Muse Spark 1.1 is a multimodal reasoning model from Meta, built for agentic tasks. It accepts text, images, video, and PDF documents and returns text, with a 1M-token context window....","architecture":{"modality":"text+image+file+video->text","input_modalities":["text","image","video","file"],"output_modalities":["text"],"tokenizer":"Other","instruct_type":null},"supported_parameters":["include_reasoning","max_tokens","reasoning","reasoning_effort","repetition_penalty","response_format","structured_outputs","temperature","tool_choice","tools","top_k","top_p"],"created_at":1784215741,"canonical_slug":"meta/muse-spark-1.1-20260709","catalog_source":"openrouter","host_id":"openrouter","host_name":"OpenRouter","creator_id":"meta","creator_name":"Meta","cheapest_provider":"meta","cheapest_provider_name":"Meta","cheapest_price":2,"savings_pct":null,"savings_basis":null},{"id":"meta/muse-spark-1.2","provider_id":"meta","name":"Meta: Muse Spark 1.2","modalities":["text","image","video"],"context_window":1048576,"family":"muse-spark-1.2","status":"active","description":"Muse Spark 1.2 is a reasoning model from Meta, designed for complex agentic tasks. It accepts text, images, video, and PDF documents, returns text, and offers a 1M-token context window....","architecture":{"modality":"text+image+file+video->text","input_modalities":["text","image","video","file"],"output_modalities":["text"],"tokenizer":"Other","instruct_type":null},"supported_parameters":["include_reasoning","max_tokens","reasoning","reasoning_effort","repetition_penalty","response_format","structured_outputs","temperature","tool_choice","tools","top_k","top_p"],"created_at":1785959287,"canonical_slug":"meta/muse-spark-1.2-20260805","catalog_source":"openrouter","host_id":"openrouter","host_name":"OpenRouter","creator_id":"meta","creator_name":"Meta","cheapest_provider":"meta","cheapest_provider_name":"Meta","cheapest_price":2,"savings_pct":null,"savings_basis":null},{"id":"meta/muse-spark-1.2-contributor","provider_id":"meta","name":"Meta: Muse Spark 1.2 Contributor","modalities":["text","image","video"],"context_window":1048576,"family":"muse-spark-1.2-contributor","status":"active","description":"Muse Spark 1.2 contributor tier is a reasoning model from Meta designed for developers who want to start building at an even lower cost. It’s meaningfully cheaper than Muse Spark...","architecture":{"modality":"text+image+file+video->text","input_modalities":["text","image","video","file"],"output_modalities":["text"],"tokenizer":"Other","instruct_type":null},"supported_parameters":["include_reasoning","max_tokens","reasoning","reasoning_effort","repetition_penalty","response_format","structured_outputs","temperature","tool_choice","tools","top_k","top_p"],"created_at":1787336476,"canonical_slug":"meta/muse-spark-1.2-contributor-20260805","catalog_source":"openrouter","host_id":"openrouter","host_name":"OpenRouter","creator_id":"meta","creator_name":"Meta","cheapest_provider":"meta","cheapest_provider_name":"Meta","cheapest_price":0.125,"savings_pct":null,"savings_basis":null},{"id":"meta/muse-spark-1.3","provider_id":"meta","name":"Meta: Muse Spark 1.3","modalities":["text","image","video"],"context_window":1048576,"family":"muse-spark-1.3","status":"active","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...","architecture":{"modality":"text+image+file+video->text","input_modalities":["text","image","video","file"],"output_modalities":["text"],"tokenizer":"Other","instruct_type":null},"supported_parameters":["include_reasoning","max_tokens","reasoning","reasoning_effort","repetition_penalty","response_format","structured_outputs","temperature","tool_choice","tools","top_k","top_p"],"created_at":1788378359,"canonical_slug":"meta/muse-spark-1.3-20260902","catalog_source":"openrouter","host_id":"openrouter","host_name":"OpenRouter","creator_id":"meta","creator_name":"Meta","cheapest_provider":"meta","cheapest_provider_name":"Meta","cheapest_price":2,"savings_pct":null,"savings_basis":null},{"id":"meta/muse-spark-1.3-contributor","provider_id":"meta","name":"Meta: Muse Spark 1.3 Contributor","modalities":["text","image","video"],"context_window":1048576,"family":"muse-spark-1.3-contributor","status":"active","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...","architecture":{"modality":"text+image+file+video->text","input_modalities":["text","image","video","file"],"output_modalities":["text"],"tokenizer":"Other","instruct_type":null},"supported_parameters":["include_reasoning","max_tokens","reasoning","reasoning_effort","repetition_penalty","response_format","structured_outputs","temperature","tool_choice","tools","top_k","top_p"],"created_at":1788381519,"canonical_slug":"meta/muse-spark-1.3-contributor-20260902","catalog_source":"openrouter","host_id":"openrouter","host_name":"OpenRouter","creator_id":"meta","creator_name":"Meta","cheapest_provider":"meta","cheapest_provider_name":"Meta","cheapest_price":0.125,"savings_pct":null,"savings_basis":null},{"id":"meta/muse-spark-open","provider_id":"meta","name":"Meta: Muse Spark Open","modalities":["text","image","video","audio"],"context_window":1048576,"family":"muse-spark-open","status":"active","description":"Muse Spark Open is a coding-optimized open-weight model. Trained specifically for agentic coding workflows, it delivers higher first-attempt accuracy, reliable tool calling, and deep codebase understanding across the repos developers...","architecture":{"modality":"text+image+file+audio+video->text","input_modalities":["text","image","video","file","audio"],"output_modalities":["text"],"tokenizer":"Other","instruct_type":null},"supported_parameters":["frequency_penalty","include_reasoning","logit_bias","logprobs","max_tokens","min_p","presence_penalty","reasoning","reasoning_effort","repetition_penalty","response_format","seed","stop","structured_outputs","temperature","tool_choice","tools","top_k","top_logprobs","top_p"],"created_at":1792087069,"canonical_slug":"meta/muse-spark-open-20261015","catalog_source":"openrouter","host_id":"openrouter","host_name":"OpenRouter","creator_id":"meta","creator_name":"Meta","cheapest_provider":"baseten","cheapest_provider_name":"BaseTen","cheapest_price":2,"savings_pct":null,"savings_basis":null},{"id":"meta/muse-voice-transcribe-1.0","provider_id":"meta","name":"Meta: Muse Voice Transcribe 1.0","modalities":["audio"],"context_window":0,"family":"muse-voice-transcribe-1.0","status":"active","description":"Muse Voice Transcribe 1.0 is a synchronous speech-to-text model from Meta. It is suited for push-to-talk, endpointing, and speaker-aware transcription, with keyword biasing for domain terms and language biasing through...","architecture":{"modality":"audio->transcription","input_modalities":["audio"],"output_modalities":["transcription"],"tokenizer":"Other","instruct_type":null},"supported_parameters":[],"created_at":1789146931,"canonical_slug":"meta/muse-voice-transcribe-1.0-20260903","catalog_source":"openrouter","host_id":"openrouter","host_name":"OpenRouter","creator_id":"meta","creator_name":"Meta","cheapest_provider":"meta","cheapest_provider_name":"Meta","cheapest_price":37.5,"savings_pct":null,"savings_basis":null},{"id":"meta/muse-wonder","provider_id":"meta","name":"Meta: Muse Wonder","modalities":["text","image","video","audio"],"context_window":1048576,"family":"muse-wonder","status":"active","description":"Muse Wonder is a frontier reasoning model from Meta, designed for complex personal and professional agentic tasks. It accepts text, images, video, audio, and PDF documents and returns text, with...","architecture":{"modality":"text+image+file+audio+video->text","input_modalities":["text","image","video","file","audio"],"output_modalities":["text"],"tokenizer":"Other","instruct_type":null},"supported_parameters":["include_reasoning","max_tokens","reasoning","reasoning_effort","repetition_penalty","response_format","structured_outputs","temperature","tool_choice","tools","top_k","top_p"],"created_at":1791807945,"canonical_slug":"meta/muse-wonder-20261012","catalog_source":"openrouter","host_id":"openrouter","host_name":"OpenRouter","creator_id":"meta","creator_name":"Meta","cheapest_provider":"meta","cheapest_provider_name":"Meta","cheapest_price":8,"savings_pct":null,"savings_basis":null}]}}