Model comparison
GPT-5.5 Pro vs Mistral Small 3.2
GPT-5.5 Pro is the stronger model overall, scoring 64.3 to 31.2 on the Noometry Index. Mistral Small 3.2 costs 508× less per token, which makes it the better buy when GPT-5.5 Pro's lead doesn't matter for your workload.
Last verified . 4 shared benchmarks.
Mistral AISummary
- They share 4 benchmarks with published results for both. GPT-5.5 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 math, where GPT-5.5 Pro leads 84.0 to 26.3.
- The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 100% for GPT-5.5 Pro and 30.3% for Mistral Small 3.2.
- Mistral Small 3.2 is cheaper at $0.0938 / $0.25 per million input/output tokens, against $30 / $180 for GPT-5.5 Pro.
- GPT-5.5 Pro accepts more context: 1.05M tokens versus 256K.
- Mistral Small 3.2 has downloadable open weights; the other is API-only.
Side by side
| GPT-5.5 Pro | Mistral Small 3.2 | |
|---|---|---|
| Provider | OpenAI | Mistral AI |
| Noometry Index | 64.3 | 31.2 |
| Released | 2026-04-23 | 2025-06-20 |
| Weights | Proprietary | Open |
| Context window | 1.05M | 256K |
| Max output | 128K | 16K |
| Input $ / M tokens | $30 | $0.0938 |
| Output $ / M tokens | $180 | $0.25 |
| Results tracked | 14 | 6 |
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Category by category
Reasoning GPT-5.5 Pro leads
GPT-5.5 Pro: 73.3 (#10), Mistral Small 3.2: 18.1 (#287)
| Benchmark | GPT-5.5 Pro | Mistral Small 3.2 |
|---|---|---|
| Chess Puzzles | 64% | 1% |
| Epoch Capabilities Index | 162.07 | 131.74 |
| ARC-AGI-2 | 84.6% | — |
| SimpleBench | 76.9% | — |
| Kagi LLM Benchmark | — | 40.4% |
| ARC-AGI-1 | 96.5% | — |
| CritPt | 30.6% | — |
| DTBench | 96% | — |
| LMCA | 53.9% | — |
Math GPT-5.5 Pro leads
GPT-5.5 Pro: 84.0 (#10), Mistral Small 3.2: 26.3 (#260)
| Benchmark | GPT-5.5 Pro | Mistral Small 3.2 |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 100% | 30.3% |
| FrontierMath (Tiers 1-3) | 87.7% | — |
| FrontierMath Tier 4 | 78% | — |
| FrontierMath (Feb 2025 set) | 52.4% | — |
| FrontierMath Tier 4 (v1) | 39.6% | — |
Knowledge GPT-5.5 Pro leads
GPT-5.5 Pro: 64.1 (#19), Mistral Small 3.2: 26.7 (#256)
| Benchmark | GPT-5.5 Pro | Mistral Small 3.2 |
|---|---|---|
| GPQA Diamond | 93.9% | 49.1% |
Writing & Preference Not comparable
GPT-5.5 Pro: —, Mistral Small 3.2: 45.0 (#224)
| Benchmark | GPT-5.5 Pro | Mistral Small 3.2 |
|---|---|---|
| EQ-Bench Creative Writing | — | 1255 |
Frequently asked questions
Is GPT-5.5 Pro better than Mistral Small 3.2?
GPT-5.5 Pro is the stronger model overall, scoring 64.3 to 31.2 on the Noometry Index. Mistral Small 3.2 costs 508× less per token, which makes it the better buy when GPT-5.5 Pro's lead doesn't matter for your workload.
Which is cheaper, GPT-5.5 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-5.5 Pro lists at $30 and $180.
Which has the bigger context window?
GPT-5.5 Pro does, with 1.05M tokens against 256K.
How many benchmarks do GPT-5.5 Pro and Mistral Small 3.2 share?
4 benchmarks have published results for both models. GPT-5.5 Pro has 14 scored results on Noometry and Mistral Small 3.2 has 6.