Model comparison
Codestral vs GPT-5.2 Pro
GPT-5.2 Pro is the stronger model overall, scoring 52.3 to 30.6 on the Noometry Index. Codestral costs 128× less per token, which makes it the better buy when GPT-5.2 Pro's lead doesn't matter for your workload.
Last verified . 0 shared benchmarks.
Mistral AISummary
- The widest gap is in reasoning, where GPT-5.2 Pro leads 51.5 to 19.8.
- Codestral is cheaper at $0.30 / $0.90 per million input/output tokens, against $21 / $168 for GPT-5.2 Pro.
- GPT-5.2 Pro accepts more context: 400K tokens versus 256K.
Side by side
| Codestral | GPT-5.2 Pro | |
|---|---|---|
| Provider | Mistral AI | OpenAI |
| Noometry Index | 30.6 | 52.3 |
| Released | 2024-05-29 | 2025-12-11 |
| Weights | Proprietary | Proprietary |
| Context window | 256K | 400K |
| Max output | 8K | 128K |
| Input $ / M tokens | $0.30 | $21 |
| Output $ / M tokens | $0.90 | $168 |
| Results tracked | 7 | 8 |
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Category by category
Coding Not comparable
Codestral: 27.3 (#321), GPT-5.2 Pro: —
| Benchmark | Codestral | GPT-5.2 Pro |
|---|---|---|
| Aider Polyglot | 11.1% | — |
| BigCodeBench Instruct | 41.8% | — |
| BigCodeBench Complete | 52.5% | — |
| ALE-Bench | 137.78 | — |
| HumanEval+ | 73.8% | — |
| MBPP+ | 61.9% | — |
Reasoning GPT-5.2 Pro leads
Codestral: 19.8 (#251), GPT-5.2 Pro: 51.5 (#33)
| Benchmark | Codestral | GPT-5.2 Pro |
|---|---|---|
| ARC-AGI-2 | — | 54.2% |
| SimpleBench | — | 57.4% |
| Kagi LLM Benchmark | 32.5% | — |
| NYT Connections (extended) | — | 79.3% |
| ARC-AGI-1 | — | 90.5% |
| Epoch Capabilities Index | — | 155.4 |
Math Not comparable
Codestral: —, GPT-5.2 Pro: 65.3 (#29)
| Benchmark | Codestral | GPT-5.2 Pro |
|---|---|---|
| FrontierMath (Tiers 1-3) | — | 74% |
| FrontierMath Tier 4 | — | 46% |
| FrontierMath Tier 4 (v1) | — | 31.3% |
Frequently asked questions
Is Codestral better than GPT-5.2 Pro?
GPT-5.2 Pro is the stronger model overall, scoring 52.3 to 30.6 on the Noometry Index. Codestral costs 128× less per token, which makes it the better buy when GPT-5.2 Pro's lead doesn't matter for your workload.
Which is cheaper, Codestral or GPT-5.2 Pro?
Codestral is cheaper. It lists at $0.30 per million input tokens and $0.90 per million output tokens; GPT-5.2 Pro lists at $21 and $168.
Which has the bigger context window?
GPT-5.2 Pro does, with 400K tokens against 256K.
How many benchmarks do Codestral and GPT-5.2 Pro share?
0 benchmarks have published results for both models. Codestral has 7 scored results on Noometry and GPT-5.2 Pro has 8.