Model comparison
Devstral Small 2505 vs GPT-5 Pro
GPT-5 Pro is the stronger model overall, scoring 46.4 to 34.3 on the Noometry Index. Devstral Small 2505 costs 275× less per token, which makes it the better buy when GPT-5 Pro's lead doesn't matter for your workload.
Last verified . 1 shared benchmarks.
Mistral AISummary
- They share 1 benchmark with published results for both. Devstral Small 2505 scores higher in 0 categories and GPT-5 Pro in 2 categories; 2 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where GPT-5 Pro leads 38.9 to 19.7.
- The biggest single-benchmark swing is Kagi LLM Benchmark: 37.7% for Devstral Small 2505 and 76.8% for GPT-5 Pro.
- Devstral Small 2505 is cheaper at $0.10 / $0.30 per million input/output tokens, against $15 / $120 for GPT-5 Pro.
- GPT-5 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 Pro | |
|---|---|---|
| Provider | Mistral AI | OpenAI |
| Noometry Index | 34.3 | 46.4 |
| Released | 2025-05-07 | 2025-10-06 |
| Weights | Open | Proprietary |
| Context window | 128K | 400K |
| Max output | 128K | 272K |
| Input $ / M tokens | $0.10 | $15 |
| Output $ / M tokens | $0.30 | $120 |
| Results tracked | 4 | 12 |
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Category by category
Coding GPT-5 Pro leads
Devstral Small 2505: 38.9 (#166), GPT-5 Pro: 44.0 (#80)
| Benchmark | Devstral Small 2505 | GPT-5 Pro |
|---|---|---|
| SWE-bench Verified (bash only) | 56.4% | — |
| SciCode | 28.8% | — |
| WeirdML | — | 60.4% |
| AlgoTune | — | 1.31 |
Reasoning GPT-5 Pro leads
Devstral Small 2505: 19.7 (#252), GPT-5 Pro: 38.9 (#62)
| Benchmark | Devstral Small 2505 | GPT-5 Pro |
|---|---|---|
| Kagi LLM Benchmark | 37.7% | 76.8% |
| ARC-AGI-2 | — | 18.3% |
| SimpleBench | — | 61.6% |
| ARC-AGI-1 | — | 70.2% |
| CritPt | 0% | — |
| EnigmaEval | — | 18.8% |
| Epoch Capabilities Index | — | 150.28 |
Math Not comparable
Devstral Small 2505: —, GPT-5 Pro: 48.5 (#63)
| Benchmark | Devstral Small 2505 | GPT-5 Pro |
|---|---|---|
| FrontierMath (Tiers 1-3) | — | 55.8% |
| FrontierMath Tier 4 | — | 19.5% |
| FrontierMath Tier 4 (v1) | — | 14.6% |
Knowledge Not comparable
Devstral Small 2505: —, GPT-5 Pro: 56.7 (#42)
| Benchmark | Devstral Small 2505 | GPT-5 Pro |
|---|---|---|
| Humanity's Last Exam | — | 31.6% |
Frequently asked questions
Is Devstral Small 2505 better than GPT-5 Pro?
GPT-5 Pro is the stronger model overall, scoring 46.4 to 34.3 on the Noometry Index. Devstral Small 2505 costs 275× less per token, which makes it the better buy when GPT-5 Pro's lead doesn't matter for your workload.
Which is cheaper, Devstral Small 2505 or GPT-5 Pro?
Devstral Small 2505 is cheaper. It lists at $0.10 per million input tokens and $0.30 per million output tokens; GPT-5 Pro lists at $15 and $120.
Is Devstral Small 2505 or GPT-5 Pro better for coding?
GPT-5 Pro scores higher on coding benchmarks: 44.0 versus 38.9 in the Noometry coding category.
Which has the bigger context window?
GPT-5 Pro does, with 400K tokens against 128K.
How many benchmarks do Devstral Small 2505 and GPT-5 Pro share?
1 benchmark has published results for both models. Devstral Small 2505 has 4 scored results on Noometry and GPT-5 Pro has 12.