Meta unveils Llama 4 – a new generation of multimodal AI models
Meta has unveiled Llama 4, a new generation of AI models available in three variants, featuring advanced multimodal capabilities and a context window of up to 10 million tokens.
What happened?
Meta has launched Llama 4, a new generation of AI models with expanded multimodal capabilities for text, image, and code. The model family consists of three specialized variants: Behemoth, Maverick, and Scout. The Scout model supports a context window of up to 10 million tokens, while Maverick outperforms models like Gemini 2.0 Flash and GPT-4o across several established benchmarks.
Key facts
| Lanseringsdatum | 10 september 2025 |
|---|---|
| Modellvarianter | Behemoth, Maverick, Scout |
| Maximalt kontextfönster | 10 miljoner tokens (Scout) |
| Distributionsplattformar | llama.com, Hugging Face |
Why it matters
With a 10-million-token context window, Llama 4 sets a new standard for how large quantities of data and documents can be processed simultaneously by open AI models. This allows developers to build more advanced applications for coding, visual analysis, and complex reasoning without relying solely on closed commercial APIs.
Who is affected?
Developers, researchers, and companies utilizing Meta's open model architecture gain access to Llama 4 via llama.com and Hugging Face. End users will encounter the technology through its direct integration into Meta's messaging services, such as WhatsApp and Messenger.
Impact on the EU
The Llama 4 models are being released via llama.com and Hugging Face. It remains to be seen how new EU regulations, such as the EU AI Act, will affect the rollout of Meta AI features in Europe, as Meta has previously faced restrictions regarding its multimodal models within the EU region.
What else you should know
Llama 4 marks Meta's continued commitment to open models for researchers and developers, while simultaneously integrating the technology into consumer products like WhatsApp, Messenger, and Instagram.
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