Llama 4 Scout
SOTA 109B model with 17B active params & large context, excelling at multi-document analysis, codebase reasoning, and personalized tasks.
Performance benchmarks
Model | AIME 2025 | GPQA Diamond | HLE | LiveCodeBench | MATH500 | SWE-bench verified |
|---|---|---|---|---|---|---|
Llama 4 Scout | 51.8% | Related open-source models | Competitor closed-source models | |||
 Claude Opus 4.6 | 90.5% | 34.2% | 78.7% | |||
 OpenAI o3 | 83.3% | 24.9% | 99.2% | 62.3% | ||
OpenAI o1 | 76.8% | 96.4% | 48.9% | |||
GPT-4o | 49.2% | 2.7% | 32.3% | 89.3% | 31.0% |
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Related models
- TypeChatVision
- Main use casesChatFunction CallingVision
- FeaturesFunction Calling
- Fine tuningSupported
- Parameters109B
- Context length1M
- Quantization levelFP16
- External link
- CategoryChat