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Mistral Medium 3 vs Llama 4 Scout
A detailed comparison of Mistral Medium 3 (Mistral) and Llama 4 Scout (Meta) across pricing, performance, and features.
Pricing Comparison
| Metric | Mistral Medium 3 | Llama 4 Scout | Difference |
|---|---|---|---|
| Input / 1M tokens | $0.40 | $0.18 | -55% |
| Output / 1M tokens | $2.00 | $0.63 | -69% |
| Context window | 128K | 10M | — |
| Max output | 16.384K | 32K | — |
Benchmark Comparison
| Benchmark | Mistral Medium 3 | Llama 4 Scout |
|---|---|---|
| MMLU-Pro | 76% | 74.2% |
| HumanEval | 87% | 86% |
Capabilities
| Capability | Mistral Medium 3 | Llama 4 Scout |
|---|---|---|
| code | ✓ | ✓ |
| text | ✓ | ✓ |
| tool-use | ✓ | ✗ |
| vision | ✓ | ✓ |
Mistral Medium 3 Strengths
- ✓Very affordable for mid-tier quality
- ✓Good multilingual performance
Mistral Medium 3 Weaknesses
- ✗Lags behind on reasoning benchmarks
- ✗Smaller community and tooling
Llama 4 Scout Strengths
- ✓10M token context — largest available
- ✓Open-source
- ✓Ultra cheap via API providers
Llama 4 Scout Weaknesses
- ✗Lower benchmarks than Maverick
- ✗Limited tool-use support
Quick Verdict
Best value: Llama 4 Scout is the more affordable option at $0.18/$0.63 per 1M tokens.
Higher benchmarks: Mistral Medium 3 scores higher on average across available benchmarks (81.5% avg).
Larger context: Llama 4 Scout supports 10M tokens.
Choose Llama 4 Scout if cost matters most. Choose Mistral Medium 3 if you need the best possible quality for complex tasks.