GPT-5.6 Luna (Xhigh) vs Mistral Large 3
Which is better for the money: GPT-5.6 Luna (Xhigh) by OpenAI or Mistral Large 3 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-5.6 Luna (Xhigh) scores 25.3 points higher (34.6 vs 9.3) but costs 3.9× as much to run the benchmark ($179 vs $46.4; mid-range vs budget cost classes). They are not alternatives at one budget: pick GPT-5.6 Luna (Xhigh) when you need intelligence above 9.3, and Mistral Large 3 when 9.3 is enough.
| Metric | GPT-5.6 Luna (Xhigh) | Mistral Large 3 | Difference |
|---|---|---|---|
| Intelligence (higher is better) | 34.6 | 9.3 | −73.1% Mistral Large 3 is 73.1% less intelligent |
| Total AA cost (lower is better) | $179.33 | $46.41 | −74.1% Mistral Large 3 is 74.1% cheaper |
| End-to-end time (lower is better) | 40.39s | 6.97s | −82.7% Mistral Large 3 is 82.7% faster |
| Price per 1M tokens (in / out) | $0.20 / $1.20 | $0.50 / $1.50 | |
| Input modalities | Text, Image | Text, Image |
Mistral Large 3 vs GPT-5.6 Luna (Xhigh): 73.1% less intelligence, 74.1% less cost to run the AA benchmark, and 82.7% faster end-to-end.
Today's Pareto frontier
Against the frontier
- GPT-5.6 Luna (Xhigh) is off the frontier: at the same or lower cost, Claude Haiku 5.5 (Xhigh) scores 41.20 for $158.
- Mistral Large 3 is off the frontier: at the same or lower cost, GPT-6 Luna (Medium) scores 29.90 for $31.2.
GPT-5.6 Luna (Xhigh)Mistral Large 3Today'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-5-6-luna-xhigh/mistral-large-3 · Markdown: /api/v1/compare/gpt-5-6-luna-xhigh/mistral-large-3?format=md · llms.txt · agent skill