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Mistral Large 3 vs o3
A detailed comparison of Mistral Large 3 (Mistral) and o3 (OpenAI) across pricing, performance, and features.
Pricing Comparison
| Metric | Mistral Large 3 | o3 | Difference |
|---|---|---|---|
| Input / 1M tokens | $2.00 | $0.40 | -80% |
| Output / 1M tokens | $5.00 | $1.60 | -68% |
| Context window | 128K | 200K | — |
| Max output | 16.384K | 100K | — |
Benchmark Comparison
| Benchmark | Mistral Large 3 | o3 |
|---|---|---|
| MMLU-Pro | 83% | 87% |
| HumanEval | 91% | 94.5% |
| GPQA | — | 79.2% |
Capabilities
| Capability | Mistral Large 3 | o3 |
|---|---|---|
| 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
o3 Strengths
- ✓Recently repriced — now very cheap
- ✓Excellent logical reasoning
- ✓200K context window
o3 Weaknesses
- ✗Slower due to reasoning overhead
- ✗Overkill for simple tasks
Quick Verdict
Best value: o3 is the more affordable option at $0.4/$1.6 per 1M tokens.
Higher benchmarks: Mistral Large 3 scores higher on average across available benchmarks (87.0% avg).
Larger context: o3 supports 200K tokens.
Choose o3 if cost matters most. Choose Mistral Large 3 if you need the best possible quality for complex tasks.