Model Terminal
Llama 4 Scout
Llama 4 Scout is an open-weight, instruction-tuned multimodal language model released by Meta on April 5, 2025, featuring 17 billion active parameters across 16 experts (mixture-of-experts architecture) and a 10-million-token context window. It accepts text and image inputs and is designed for assistant-style tasks including question answering, summarization, image captioning, and long-context reasoning. Source: supabase.
Value score
Not scored
Context
10M
tokens
Max output
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tokens
Price
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Capability radar
Peer value bars
Identity
- Developer
- meta-llama
- Openness
- Open Weights
- Modalities
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- Release
- 2025-04-05
- Knowledge cutoff
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- Deprecation
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- API docs
- Provider docs
Benchmarks
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Pricing
- Input / 1M
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- Output / 1M
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- Speed
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