Model comparison
Devstral Small 2505 vs GPT-5.2 Pro
GPT-5.2 Pro is the stronger model overall, scoring 52.3 to 34.3 on the Noometry Index. Devstral Small 2505 costs 385× 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 19.7.
- Devstral Small 2505 is cheaper at $0.10 / $0.30 per million input/output tokens, against $21 / $168 for GPT-5.2 Pro.
- GPT-5.2 Pro accepts more context: 400K tokens versus 128K.
- Devstral Small 2505 has downloadable open weights; the other is API-only.
Side by side
| Devstral Small 2505 | GPT-5.2 Pro | |
|---|---|---|
| Provider | Mistral AI | OpenAI |
| Noometry Index | 34.3 | 52.3 |
| Released | 2025-05-07 | 2025-12-11 |
| Weights | Open | Proprietary |
| Context window | 128K | 400K |
| Max output | 128K | 128K |
| Input $ / M tokens | $0.10 | $21 |
| Output $ / M tokens | $0.30 | $168 |
| Results tracked | 4 | 8 |
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Category by category
Coding Not comparable
Devstral Small 2505: 38.9 (#166), GPT-5.2 Pro: —
| Benchmark | Devstral Small 2505 | GPT-5.2 Pro |
|---|---|---|
| SWE-bench Verified (bash only) | 56.4% | — |
| SciCode | 28.8% | — |
Reasoning GPT-5.2 Pro leads
Devstral Small 2505: 19.7 (#252), GPT-5.2 Pro: 51.5 (#33)
| Benchmark | Devstral Small 2505 | GPT-5.2 Pro |
|---|---|---|
| ARC-AGI-2 | — | 54.2% |
| SimpleBench | — | 57.4% |
| Kagi LLM Benchmark | 37.7% | — |
| NYT Connections (extended) | — | 79.3% |
| ARC-AGI-1 | — | 90.5% |
| CritPt | 0% | — |
| Epoch Capabilities Index | — | 155.4 |
Math Not comparable
Devstral Small 2505: —, GPT-5.2 Pro: 65.3 (#29)
| Benchmark | Devstral Small 2505 | GPT-5.2 Pro |
|---|---|---|
| FrontierMath (Tiers 1-3) | — | 74% |
| FrontierMath Tier 4 | — | 46% |
| FrontierMath Tier 4 (v1) | — | 31.3% |
Frequently asked questions
Is Devstral Small 2505 better than GPT-5.2 Pro?
GPT-5.2 Pro is the stronger model overall, scoring 52.3 to 34.3 on the Noometry Index. Devstral Small 2505 costs 385× 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, Devstral Small 2505 or GPT-5.2 Pro?
Devstral Small 2505 is cheaper. It lists at $0.10 per million input tokens and $0.30 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 128K.
How many benchmarks do Devstral Small 2505 and GPT-5.2 Pro share?
0 benchmarks have published results for both models. Devstral Small 2505 has 4 scored results on Noometry and GPT-5.2 Pro has 8.