Claude Opus 4.7 vs GPT-5.6 Luna
44 SHARED BENCHMARKSAcross 44 shared benchmarks, Claude Opus 4.7 scores higher on 29 and GPT-5.6 Luna on 14, with 1 level. The widest gap is AA-Omniscience · Non-hallucination, where Claude Opus 4.7 scores 57.7 against 7.4. GPT-5.6 Luna is the cheaper of the two on tracked API pricing ($0.20 against $5.00 per million input tokens).
At a glance
Release dates per Artificial Analysis. Prices: Artificial Analysis for Claude Opus 4.7; OpenAI's own price page for GPT-5.6 Luna. ◆ = independently verified score.
Where each leadsby capability area · benchmark wins
Biggest gaps
Claude Opus 4.7 pulls furthest ahead on
- AA-Omniscience · Non-hallucination57.7 vs 7.4
- SimpleBench61.7 vs 46.8
- ARC-AGI-275.8 vs 59.6
GPT-5.6 Luna pulls furthest ahead on
- FrontierMath Tier 458.5 vs 31.7
- CritPt20.6 vs 12
- MRCR v2 8 needle 128k (average)74.8 vs 59.3
Every shared benchmark44 · grouped by area
Reasoning 7
Coding 7
Agentic 6
Factuality 3
Instruction Following 1
Long Context 2
Math 5
Multimodal 3
Other shared benchmarks 10
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 (direct, openai-official), otherwise the lowest tracked offer.