Meta

Llama 3.3 70B is Meta's multilingual instruction-tuned text model, released in December 2024. It takes text input and produces text and code with a 128K-token context window, officially supports eight languages, and is built for assistant-style chat.

Llama 3.2 3B is a small multilingual text model from Meta, instruction tuned for assistant-style chat and agentic tasks such as knowledge retrieval, summarization and prompt rewriting. It takes text input and produces text and code with a 128K-token context window, and officially supports eight languages.

Meta Llama 3.1 70B Instruct Turbo is a faster serving variant of Llama 3.1 70B Instruct, Meta's multilingual instruction-tuned text model. The model has a 128K-token context window, officially supports eight languages and supports tool use.

Meta Llama 3.1 8B Instruct Turbo is a faster serving variant of Llama 3.1 8B Instruct, Meta's small multilingual instruction-tuned text model. The model has a 128K-token context window, officially supports eight languages and supports tool use.

Llama 3.3 70B Instruct is Meta's 70B-parameter multilingual instruction-tuned model, tuned for assistant-style dialogue in English, German, French, Italian, Portuguese, Hindi, Spanish and Thai. It takes text input and produces text and code with a 128K-token context window. This Turbo variant is a faster serving variant of Llama 3.3 70B Instruct.

Llama 4 Scout is Meta's natively multimodal Mixture-of-Experts model with 17B active parameters, 16 experts and 109B total parameters. It takes text and image input and produces text and code with a context window of up to 10M tokens, and is built for assistant chat and visual reasoning such as captioning and image question answering.

Llama Guard 4 is a natively multimodal safety classifier with 12 billion parameters trained jointly on text and multiple images. Llama Guard 4 is a dense architecture pruned from the Llama 4 Scout pre-trained model and fine-tuned for content safety classification. Similar to previous versions, it can be used to classify content in both LLM inputs (prompt classification) and in LLM responses (response classification). It itself acts as an LLM: it generates text in its output that indicates whether a given prompt or response is safe or unsafe, and if unsafe, it also lists the content categories violated.

Muse Glimmer 30B is an open-weight multimodal model from Meta Superintelligence Lab, distilled from Muse Spark. It is a dense 30B transformer that takes text and image input and produces text with a context window of at least 131K tokens, built for local and coding agents, tool calling and multimodal reasoning on a single consumer GPU or Mac.

Muse Wonder is a reasoning model from Meta Superintelligence Labs for long-running personal and professional agentic work, released in October 2026 as a larger class of model than the Muse Spark family. It accepts text, images, audio, video and PDF documents and returns text, with a context window of about 1M tokens. It is built to plan, call tools in parallel, keep track of what matters across a long task and try another approach when it hits a blocker.

Free access to Llama 3.1 8B Instruct on limited shared capacity. Anonymous route; account opt-in required.

Muse Image is Meta's image generation and editing model, the first from Meta Superintelligence Labs. It works with Meta's Muse Spark reasoning model to plan layouts, draw on web context and combine multiple references, and renders legible in-image text. This variant generates images from a text prompt.