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Meta

Open-weight models powering the open AI ecosystem

Meta AI's Llama series has become the foundation of the open-source AI movement. Released under permissive licenses that allow commercial use, Llama models are fine-tuned by thousands of organisations worldwide. The Llama 4 generation introduces mixture-of-experts architecture and natively multimodal capabilities, with Scout offering an extraordinary 10M-token context window.

Founded 2004·5 models·Visit Meta

5 Models

Llama 4 Behemoth

Meta's most powerful open-weight model

3 cr
Llama 4 Behemoth is Meta's largest and most capable model, sitting at the top of the Llama 4 family. It is designed for the most demanding tasks — frontier coding, advanced mathematical reasoning, and complex multi-step analysis — while remaining open-weight.
256k ctxVisionTool use

Llama 4 Maverick

Meta's frontier multimodal model

3 cr
Llama 4 Maverick is Meta's most capable model, using a mixture-of-experts architecture with 128 experts and native multimodal support. It competes with GPT-4o and Claude 3.5 Sonnet on most benchmarks while remaining open-weight.
1M ctxVisionTool use

Llama 4 Scout

10M-token context with MoE efficiency

3 cr
Llama 4 Scout sets a record with its 10 million-token context window — enough to process entire large codebases in a single prompt. Its 16-expert MoE architecture makes it surprisingly efficient for its capability level.
10M ctxVisionTool use

Llama 3.3 70B

Proven 70B model with excellent instruction-following

3 cr
Llama 3.3 70B is Meta's refined 70-billion parameter model that punches above its weight class. It delivers near-GPT-4 performance on instruction-following tasks and is widely used as a cost-effective production model.
128k ctxTool useJSON mode

Llama 3.2 11B Vision

Compact multimodal model for visual tasks

2 cr
Llama 3.2 11B Vision adds image understanding to a compact, efficient model. It is ideal for document analysis, image captioning, and visual question answering at a very low cost.
128k ctxVisionTool use

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