Model comparison
GPT-5 Pro vs Mistral Small 3.2
GPT-5 Pro is the stronger model overall, scoring 46.2 to 30.8 on the Noometry Index. Mistral Small 3.2 costs 311× less per token, which makes it the better buy when GPT-5 Pro's lead doesn't matter for your workload.
Last verified . 2 shared benchmarks.
Mistral AISummary
- They share 2 benchmarks with published results for both. GPT-5 Pro scores higher in 3 categories and Mistral Small 3.2 in 0 categories; 3 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where GPT-5 Pro leads 56.2 to 26.8.
- The biggest single-benchmark swing is Kagi LLM Benchmark: 76.8% for GPT-5 Pro and 40.4% for Mistral Small 3.2.
- Mistral Small 3.2 is cheaper at $0.0938 / $0.25 per million input/output tokens, against $15 / $120 for GPT-5 Pro.
- GPT-5 Pro accepts more context: 400K tokens versus 256K.
- Mistral Small 3.2 has downloadable open weights; the other is API-only.
Side by side
| GPT-5 Pro | Mistral Small 3.2 | |
|---|---|---|
| Provider | OpenAI | Mistral AI |
| Noometry Index | 46.2 | 30.8 |
| Released | 2025-10-06 | 2025-06-20 |
| Weights | Proprietary | Open |
| Context window | 400K | 256K |
| Max output | 272K | 16K |
| Input $ / M tokens | $15 | $0.0938 |
| Output $ / M tokens | $120 | $0.25 |
| Results tracked | 12 | 6 |
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Category by category
Coding Not comparable
GPT-5 Pro: 43.4 (#77), Mistral Small 3.2: —
Reasoning GPT-5 Pro leads
GPT-5 Pro: 39.2 (#52), Mistral Small 3.2: 17.5 (#282)
| Benchmark | GPT-5 Pro | Mistral Small 3.2 |
|---|---|---|
| Kagi LLM Benchmark | 76.8% | 40.4% |
| Epoch Capabilities Index | 150.26 | 131.73 |
| ARC-AGI-2 | 18.3% | — |
| SimpleBench | 61.6% | — |
| ARC-AGI-1 | 70.2% | — |
| Chess Puzzles | — | 1% |
| EnigmaEval | 18.8% | — |
Math GPT-5 Pro leads
GPT-5 Pro: 48.0 (#53), Mistral Small 3.2: 24.9 (#251)
| Benchmark | GPT-5 Pro | Mistral Small 3.2 |
|---|---|---|
| FrontierMath (Tiers 1-3) | 55.8% | — |
| FrontierMath Tier 4 | 19.5% | — |
| OTIS Mock AIME 2024-2025 | — | 30.3% |
| FrontierMath Tier 4 (v1) | 14.6% | — |
Knowledge GPT-5 Pro leads
GPT-5 Pro: 56.2 (#39), Mistral Small 3.2: 26.8 (#249)
| Benchmark | GPT-5 Pro | Mistral Small 3.2 |
|---|---|---|
| GPQA Diamond | — | 49.1% |
| Humanity's Last Exam | 31.6% | — |
Writing & Preference Not comparable
GPT-5 Pro: —, Mistral Small 3.2: 45.1 (#219)
| Benchmark | GPT-5 Pro | Mistral Small 3.2 |
|---|---|---|
| EQ-Bench Creative Writing | — | 1255 |
Frequently asked questions
Is GPT-5 Pro better than Mistral Small 3.2?
GPT-5 Pro is the stronger model overall, scoring 46.2 to 30.8 on the Noometry Index. Mistral Small 3.2 costs 311× less per token, which makes it the better buy when GPT-5 Pro's lead doesn't matter for your workload.
Which is cheaper, GPT-5 Pro or Mistral Small 3.2?
Mistral Small 3.2 is cheaper. It lists at $0.0938 per million input tokens and $0.25 per million output tokens; GPT-5 Pro lists at $15 and $120.
Which has the bigger context window?
GPT-5 Pro does, with 400K tokens against 256K.
How many benchmarks do GPT-5 Pro and Mistral Small 3.2 share?
2 benchmarks have published results for both models. GPT-5 Pro has 12 scored results on Noometry and Mistral Small 3.2 has 6.