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Mistral Large 3 vs o4-mini
A detailed comparison of Mistral Large 3 (Mistral) and o4-mini (OpenAI) across pricing, performance, and features.
Pricing Comparison
| Metric | Mistral Large 3 | o4-mini | Difference |
|---|---|---|---|
| Input / 1M tokens | $2.00 | $1.10 | -45% |
| Output / 1M tokens | $5.00 | $4.40 | -12% |
| Context window | 128K | 200K | — |
| Max output | 16.384K | 100K | — |
Benchmark Comparison
| Benchmark | Mistral Large 3 | o4-mini |
|---|---|---|
| MMLU-Pro | 83% | 85% |
| HumanEval | 91% | 93.5% |
| GPQA | — | 76% |
Capabilities
| Capability | Mistral Large 3 | o4-mini |
|---|---|---|
| code | ✓ | ✓ |
| reasoning | ✓ | ✓ |
| text | ✓ | ✓ |
| tool-use | ✓ | ✓ |
| vision | ✓ | ✓ |
Mistral Large 3 Strengths
- ✓Low output cost ($5/1M) for a flagship
- ✓Strong multilingual support
- ✓European data sovereignty option
Mistral Large 3 Weaknesses
- ✗Lower benchmarks than top-tier competitors
- ✗Smaller ecosystem
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: o4-mini is the more affordable option at $1.1/$4.4 per 1M tokens.
Higher benchmarks: Mistral Large 3 scores higher on average across available benchmarks (87.0% avg).
Larger context: o4-mini supports 200K tokens.
Choose o4-mini if cost matters most. Choose Mistral Large 3 if you need the best possible quality for complex tasks.