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Mistral Large 3 vs GPT-5.2 Codex
A detailed comparison of Mistral Large 3 (Mistral) and GPT-5.2 Codex (OpenAI) across pricing, performance, and features.
Pricing Comparison
| Metric | Mistral Large 3 | GPT-5.2 Codex | Difference |
|---|---|---|---|
| Input / 1M tokens | $2.00 | $1.75 | -13% |
| Output / 1M tokens | $5.00 | $14.00 | +180% |
| Context window | 128K | 200K | — |
| Max output | 16.384K | 65.536K | — |
Benchmark Comparison
| Benchmark | Mistral Large 3 | GPT-5.2 Codex |
|---|---|---|
| MMLU-Pro | 83% | 89% |
| HumanEval | 91% | 95.5% |
| GPQA | — | 76% |
Capabilities
| Capability | Mistral Large 3 | GPT-5.2 Codex |
|---|---|---|
| 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
GPT-5.2 Codex Strengths
- ✓Strong coding performance
- ✓Available via API now
- ✓200K context window
GPT-5.2 Codex Weaknesses
- ✗Being superseded by 5.3
- ✗Higher output cost than some competitors
Quick Verdict
Best value: Mistral Large 3 is the more affordable option at $2/$5 per 1M tokens.
Higher benchmarks: Mistral Large 3 scores higher on average across available benchmarks (87.0% avg).
Larger context: GPT-5.2 Codex supports 200K tokens.
Choose Mistral Large 3 if cost matters most. Choose GPT-5.2 Codex if you need the best possible quality for complex tasks.