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Meta

Open weights at the frontier (Llama)

Models

2

Founded

2004

Country

United States

Menlo Park

Founded 2004. FAIR/Llama programme from 2023.

Meta builds its models out of Menlo Park, United States. Webparam tracks two of its models, spanning language: free to call and reaching 10M. Every one of them ships with .

Models

The Meta catalogue

Ordered by weekly usage on Webparam.

  • Llama 4 Maverick by Meta
    MetaOn request

    Llama 4 Maverick

    meta/llama-4-maverick

    The open flagship of the Llama 4 generation, multimodal, million-token, permissively licensed.

    LanguageTool callingJSON modeStreaming

    1M ctx · Free

  • Llama 4 Scout by Meta
    MetaOn request

    Llama 4 Scout

    meta/llama-4-scout

    Ten million tokens of context, the largest window on the market, open weights, commodity prices.

    LanguageTool callingStreamingOpen weights

    10M ctx · Free

Recent releases

What shipped lately

    Meta made open weights a frontier strategy. Llama downloads number in the hundreds of millions, and the Llama 4 generation pushed open models to 10M-token context, the largest window on the market. Much of the world's fine-tuned model ecosystem stands on Llama foundations.

    Strengths

    • The most-adopted open weights in the world
    • 10M-token context (Scout)
    • Massive fine-tuning ecosystem

    Use Meta models through Webparam

    Every model above is callable through one OpenAI-compatible convention: change the model ID, keep the request.

    Chat completions reference →Llama 4 Maverick model details →

    Related providers

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