GPT-5.6 Luna (Xhigh) vs MiniMax-M2.7
Which is better for the money: GPT-5.6 Luna (Xhigh) by OpenAI or MiniMax-M2.7 by MiniMax? Intelligence, total benchmark cost, and end-to-end time from Artificial Analysis & other sources, snapshot 2026-10-26.
Clear winner
Verdict
Pick GPT-5.6 Luna (Xhigh)
MiniMax-M2.7 vs GPT-5.6 Luna (Xhigh): 34.1% less intelligence, 35.7% more cost to run the AA benchmark, and 16.9% slower end-to-end.
| Metric | GPT-5.6 Luna (Xhigh) | MiniMax-M2.7 | Difference |
|---|---|---|---|
| Intelligence (higher is better) | 34.6 | 22.8 | −34.1% MiniMax-M2.7 is 34.1% less intelligent |
| Total AA cost (lower is better) | $179.33 | $243.38 | +35.7% MiniMax-M2.7 is 35.7% more expensive |
| End-to-end time (lower is better) | 45.80s | 53.54s | +16.9% MiniMax-M2.7 is 16.9% slower |
| Price per 1M tokens (in / out) | $0.20 / $1.20 | $0.30 / $1.20 | |
| Input modalities | Text, Image | Text |
Today's Pareto frontier
Against the frontier
- GPT-5.6 Luna (Xhigh) is off the frontier: at the same or lower cost, GPT-6.1 Terra (Medium) scores 41.30 for $175.
- MiniMax-M2.7 is off the frontier: at the same or lower cost, MiMo-V2.6-Pro scores 46.30 for $207.
GPT-5.6 Luna (Xhigh)MiniMax-M2.7Today's Pareto frontierOpen-weights frontierEvery other model
Matchup
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