GPT-5.6 Luna vs MiniMax M2.7
31 SHARED BENCHMARKSAcross 31 shared benchmarks, GPT-5.6 Luna scores higher on 29 and MiniMax M2.7 on 2. The widest gap is AA-Omniscience · Non-hallucination, where MiniMax M2.7 scores 64.4 against 7.4. Tracked API pricing per million tokens: GPT-5.6 Luna $0.20 in / $1.20 out, MiniMax M2.7 $0.30 in / $1.20 out.
At a glance
Release dates per Artificial Analysis. Prices: OpenAI's own price page for GPT-5.6 Luna; Artificial Analysis for MiniMax M2.7. ◆ = independently verified score.
Where each leadsby capability area · benchmark wins
Biggest gaps
GPT-5.6 Luna pulls furthest ahead on
- AA ApexAgents35.8 vs 10.6
- τ-Bench V3 · Banking31.1 vs 9.9
- GDPVal47.2 vs 24.9
MiniMax M2.7 pulls furthest ahead on
- AA-Omniscience · Non-hallucination64.4 vs 7.4
Every shared benchmark31 · grouped by area
Reasoning 3
Coding 5
Agentic 6
Factuality 2
Long Context 1
Math 2
Other shared benchmarks 12
Each score is the one the model's own page shows — the most authoritative tracked result for that benchmark, on the benchmark's standard methodology (source-attributed). ↓ marks lower-is-better metrics; ◆ an independently verified score. Open either model for its full surface, provenance and pricing. Quoted rates are the price-setter row we currently track for each model — its direct or vendor-official listing where one exists (openai-official, direct), otherwise the lowest tracked offer.