Model comparison
GPT-5.5 Pro vs Mistral Small 4
GPT-5.5 Pro has enough public results to be ranked (#7); Mistral Small 4 does not yet, so treat this comparison as directional.
Last verified . 0 shared benchmarks.
Mistral AISummary
- The widest gap is in reasoning, where GPT-5.5 Pro leads 73.6 to 21.2.
- Mistral Small 4 is cheaper at $0.075 / $0.30 per million input/output tokens, against $30 / $180 for GPT-5.5 Pro.
- GPT-5.5 Pro accepts more context: 1.05M tokens versus 262K.
- Mistral Small 4 has downloadable open weights; the other is API-only.
Side by side
| GPT-5.5 Pro | Mistral Small 4 | |
|---|---|---|
| Provider | OpenAI | Mistral AI |
| Noometry Index | 64.3 | 30.2 |
| Released | 2026-04-23 | — |
| Weights | Proprietary | Open |
| Context window | 1.05M | 262K |
| Max output | 128K | 210K |
| Input $ / M tokens | $30 | $0.075 |
| Output $ / M tokens | $180 | $0.30 |
| Results tracked | 14 | 1 |
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Category by category
Reasoning GPT-5.5 Pro leads
GPT-5.5 Pro: 73.6 (#7), Mistral Small 4: 21.2
| Benchmark | GPT-5.5 Pro | Mistral Small 4 |
|---|---|---|
| ARC-AGI-2 | 84.6% | — |
| SimpleBench | 76.9% | — |
| Kagi LLM Benchmark | — | 40.5% |
| ARC-AGI-1 | 96.5% | — |
| CritPt | 30.6% | — |
| Chess Puzzles | 64% | — |
| DTBench | 96% | — |
| LMCA | 53.9% | — |
| Epoch Capabilities Index | 162.45 | — |
Math Not comparable
GPT-5.5 Pro: 83.8 (#8), Mistral Small 4: —
| Benchmark | GPT-5.5 Pro | Mistral Small 4 |
|---|---|---|
| FrontierMath (Tiers 1-3) | 87.7% | — |
| FrontierMath Tier 4 | 78% | — |
| OTIS Mock AIME 2024-2025 | 100% | — |
| FrontierMath (Feb 2025 set) | 52.4% | — |
| FrontierMath Tier 4 (v1) | 39.6% | — |
Knowledge Not comparable
GPT-5.5 Pro: 64.2 (#17), Mistral Small 4: —
| Benchmark | GPT-5.5 Pro | Mistral Small 4 |
|---|---|---|
| GPQA Diamond | 93.9% | — |
Frequently asked questions
Is GPT-5.5 Pro better than Mistral Small 4?
GPT-5.5 Pro has enough public results to be ranked (#7); Mistral Small 4 does not yet, so treat this comparison as directional.
Which is cheaper, GPT-5.5 Pro or Mistral Small 4?
Mistral Small 4 is cheaper. It lists at $0.075 per million input tokens and $0.30 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 262K.
How many benchmarks do GPT-5.5 Pro and Mistral Small 4 share?
0 benchmarks have published results for both models. GPT-5.5 Pro has 14 scored results on Noometry and Mistral Small 4 has 1.