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Mistral Medium 3 vs o4-mini
A detailed comparison of Mistral Medium 3 (Mistral) and o4-mini (OpenAI) across pricing, performance, and features.
Pricing Comparison
| Metric | Mistral Medium 3 | o4-mini | Difference |
|---|---|---|---|
| Input / 1M tokens | $0.40 | $1.10 | +175% |
| Output / 1M tokens | $2.00 | $4.40 | +120% |
| Context window | 128K | 200K | — |
| Max output | 16.384K | 100K | — |
Benchmark Comparison
| Benchmark | Mistral Medium 3 | o4-mini |
|---|---|---|
| MMLU-Pro | 76% | 85% |
| HumanEval | 87% | 93.5% |
| GPQA | — | 76% |
Capabilities
| Capability | Mistral Medium 3 | o4-mini |
|---|---|---|
| code | ✓ | ✓ |
| reasoning | ✗ | ✓ |
| 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
o4-mini Strengths
- ✓Affordable reasoning model
- ✓200K context window
- ✓Good for math and science
o4-mini Weaknesses
- ✗Slower than non-reasoning models
- ✗Reasoning tokens add to effective cost
Quick Verdict
Best value: Mistral Medium 3 is the more affordable option at $0.4/$2 per 1M tokens.
Higher benchmarks: o4-mini scores higher on average across available benchmarks (84.8% avg).
Larger context: o4-mini supports 200K tokens.
Choose Mistral Medium 3 if cost matters most. Choose o4-mini if you need the best possible quality for complex tasks.