Meta

Muse Ember is Meta's smallest and most efficient model in the Muse family, built for reasoning and everyday agent work. It has a 1M-token context window with up to 524,288 output tokens. It takes text, image, video, file and audio input and returns text.

Llama 4 Maverick is Meta's multimodal mixture-of-experts model with 128 experts and 17 billion active parameters. It takes text and image input, returns text, and supports function calling and streaming.

Muse Spark Open is Meta's open-weight, coding-optimized model for agentic coding. It is a sparse mixture-of-experts with 816B total and about 42B active parameters and a 1M-token context window. It reads text, images, video, audio and files and returns text.

Muse Wonder is Meta's frontier reasoning model for complex personal and professional agentic tasks, in preview. It accepts text, images, video, audio and PDF documents, returns text, and has a 1M-token context window.

Muse Spark 1.3 Contributor is the Contributor-mode tier of Meta's Muse Spark 1.3 reasoning model, for experimentation and early agentic work. Meta may use your prompts, files, and responses to train future models, so avoid confidential work.

Muse Spark 1.2 Contributor is the Contributor-mode tier of Meta's Muse Spark 1.2 reasoning model, for experimentation and early agentic work. Meta may use your prompts, files, and responses to train future models, so avoid confidential work.

Llama Guard 4 12B is Meta's natively multimodal safety classifier with 12B parameters. It labels LLM prompts and responses as safe or unsafe and lists violated categories from the MLCommons hazards taxonomy. Text and image go in, text comes out.

Muse Spark 1.3 is Meta's multimodal reasoning model for complex agentic tasks. It accepts text, images, video, audio, and PDF documents, returns text, and has a 1M-token context window. Audio understanding is not fully supported, so use Muse Spark 1.2 for audio.

Llama 3.3 70B Instruct is Meta's open-weight instruction-tuned model with 70B parameters and a 131072-token context window. It is tuned for multilingual dialogue, with tool use on par with Llama 3.1 70B. It suits chat, reasoning, and coding.

Muse Spark 1.2 is Meta's multimodal reasoning model for complex agentic tasks. It accepts text, images, video, audio, and PDF documents, returns text, and offers a 1M-token context window.

Muse Glimmer 30B is Meta's dense multimodal instruct model with about 30B parameters, distilled from Muse Spark. It takes text and image input and returns text, with reasoning and function calling. Weights are open under Apache 2.0.

Muse Spark 1.1 is Meta's original multimodal reasoning model in the Muse Spark family, built for agentic tasks. It takes text, image, video, audio and file input, returns text, and has a 1M-token context window. It supports function calling and structured output.

Llama 4 Scout 17B 16E is Meta's open-weight multimodal mixture-of-experts model with 17B active and 109B total parameters. It takes text and image input and has a 10M-token input context. It fits on a single H100 GPU.

Llama 3.1 70B Instruct is Meta's instruction-tuned model for chat, reasoning, and multilingual use. It supports coding, function calling, and streaming, with text in and text out.

Llama 3.1 8B Instruct is Meta's compact instruction-tuned model, optimized for fast inference and edge deployments. It supports chat, reasoning, coding, function calling, and streaming, with text in and text out.