GPT-6 Luna (Xhigh) vs Mistral Small 3.1
Which is better for the money: GPT-6 Luna (Xhigh) by OpenAI or Mistral Small 3.1 by Mistral? Intelligence, total benchmark cost, and end-to-end time from Artificial Analysis & other sources, snapshot 2026-10-26.
Trade-off
Verdict
Depends on your budget
GPT-6 Luna (Xhigh) scores 27.5 points higher (34.6 vs 7.1) but costs 2.4× as much to run the benchmark ($66.8 vs $27.8; mid-range vs budget cost classes). Pick GPT-6 Luna (Xhigh) when the extra intelligence is worth the premium, otherwise Mistral Small 3.1.
| Metric | GPT-6 Luna (Xhigh) | Mistral Small 3.1 | Difference |
|---|---|---|---|
| Intelligence (higher is better) | 34.6 | 7.1 | −79.5% Mistral Small 3.1 is 79.5% less intelligent |
| Total AA cost (lower is better) | $66.81 | $27.82 | −58.4% Mistral Small 3.1 is 58.4% cheaper |
| End-to-end time (lower is better) | 31.80s | 10.82s | −66.0% Mistral Small 3.1 is 66.0% faster |
| Price per 1M tokens (in / out) | $0.10 / $0.50 | $0.08 / $0.14 | |
| Input modalities | Text, Image | Text, Image |
Mistral Small 3.1 vs GPT-6 Luna (Xhigh): 79.5% less intelligence, 58.4% less cost to run the AA benchmark, and 66.0% faster end-to-end.
Today's Pareto frontier
Against the frontier
- GPT-6 Luna (Xhigh) is on today's frontier: nothing is both smarter and cheaper.
- Mistral Small 3.1 is off the frontier: at the same or lower cost, GPT-6 Luna (Low) scores 21.50 for $10.6.
GPT-6 Luna (Xhigh)Mistral Small 3.1Today'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-6-luna-xhigh/mistral-small-3-1 · Markdown: /api/v1/compare/gpt-6-luna-xhigh/mistral-small-3-1?format=md · llms.txt · agent skill