GPT-5.5 (Xhigh) vs Mistral Small 3.2
Which is better for the money: GPT-5.5 (Xhigh) by OpenAI or Mistral Small 3.2 by Mistral? Intelligence, total benchmark cost, and end-to-end time from Artificial Analysis & other sources, snapshot 2026-10-25.
Trade-off
Verdict
Depends on your budget
GPT-5.5 (Xhigh) scores 31.4 points higher (38.4 vs 7.0) but costs 43× as much to run the benchmark ($5294 vs $122; flagship vs mid-range cost classes). They are not alternatives at one budget: pick GPT-5.5 (Xhigh) when you need intelligence above 7.0, and Mistral Small 3.2 when 7.0 is enough.
| Metric | GPT-5.5 (Xhigh) | Mistral Small 3.2 | Difference |
|---|---|---|---|
| Intelligence (higher is better) | 38.4 | 7.0 | −81.8% Mistral Small 3.2 is 81.8% less intelligent |
| Total AA cost (lower is better) | $5,294.36 | $121.78 | −97.7% Mistral Small 3.2 is 97.7% cheaper |
| End-to-end time (lower is better) | 40.04s | 12.77s | −68.1% Mistral Small 3.2 is 68.1% faster |
| Price per 1M tokens (in / out) | $5.00 / $30.0 | $0.07 / $0.20 | |
| Input modalities | Text, Image | Text, Image |
Mistral Small 3.2 vs GPT-5.5 (Xhigh): 81.8% less intelligence, 97.7% less cost to run the AA benchmark, and 68.1% faster end-to-end.
Today's Pareto frontier
Against the frontier
- GPT-5.5 (Xhigh) is off the frontier: at the same or lower cost, Claude Opus 5.5 (Xhigh, Default Fallback) scores 56.00 for $4057.
- Mistral Small 3.2 is off the frontier: at the same or lower cost, MiMo-V2.6-Flash scores 37.90 for $110.
GPT-5.5 (Xhigh)Mistral Small 3.2Today's Pareto frontierOpen-weights frontierEvery other model
Matchup
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Accept: text/markdown or ?format=md returns this page as Markdown. JSON: /api/v1/compare/gpt-5-5/mistral-small-3-2 · Markdown: /api/v1/compare/gpt-5-5/mistral-small-3-2?format=md · llms.txt · agent skill