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GPT-5.2 Codex vs Mistral Large 3
A detailed comparison of GPT-5.2 Codex (OpenAI) and Mistral Large 3 (Mistral) across pricing, performance, and features.
Pricing Comparison
| Metric | GPT-5.2 Codex | Mistral Large 3 | Difference |
|---|---|---|---|
| Input / 1M tokens | $1.75 | $2.00 | +14% |
| Output / 1M tokens | $14.00 | $5.00 | -64% |
| Context window | 200K | 128K | — |
| Max output | 65.536K | 16.384K | — |
Benchmark Comparison
| Benchmark | GPT-5.2 Codex | Mistral Large 3 |
|---|---|---|
| MMLU-Pro | 89% | 83% |
| HumanEval | 95.5% | 91% |
| GPQA | 76% | — |
Capabilities
| Capability | GPT-5.2 Codex | Mistral Large 3 |
|---|---|---|
| code | ✓ | ✓ |
| reasoning | ✓ | ✓ |
| text | ✓ | ✓ |
| tool-use | ✓ | ✓ |
| vision | ✓ | ✓ |
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- ✗Being superseded by 5.3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
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
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.