Llama 4 Scout
Last updated: April 22, 2026
Specs
| Vendor | Meta |
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| Released | April 5, 2025 |
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| Context window | 10M tokens |
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| Input | $0.18 / M tokens |
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| Output | $0.6 / M tokens |
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Benchmarks
| mmlu | 80.4 |
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| gpqa | 49.1 |
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| humanEval | 76.3 |
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| arenaElo | 1278 |
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| sweBench | 35 |
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| sweBenchPro | 25 |
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| liveCodeBench | 50 |
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| aiderPolyglot | 45 |
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| terminalBench | 20 |
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| mmluPro | 65 |
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| hle | 6 |
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| aime | 50 |
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| math500 | 78 |
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| mmmu | 60 |
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Strengths
- 10M-token context window: unbeaten for bulk docs
- Runs on a single H100 with heavy quantization
- Open weights for self-host
Weaknesses
- Lower benchmark scores than Maverick
- Vision weaker than closed frontier models
- Quality drops significantly on deep reasoning
Best for
- Needle-in-the-haystack retrieval on huge corpora
- Self-hosted long-doc analysis
- Cost-sensitive summarization
Compare with other AI models