GPT-5.5 vs GPT-5.6 Luna
69 SHARED BENCHMARKSAcross 69 shared benchmarks, GPT-5.5 scores higher on 46 and GPT-5.6 Luna on 22, with 1 level. The widest gap is ARC-AGI-3, where GPT-5.5 scores 0.4 against 0.2. 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 GPT-5.5; Artificial Analysis for GPT-5.6 Luna. ◆ = independently verified score.
Where each leadsby capability area · benchmark wins
Biggest gaps
GPT-5.5 pulls furthest ahead on
- SimpleQA Verified63 vs 41
- AA-Omniscience · Non-hallucination11 vs 7.4
- SimpleBench69 vs 46.8
GPT-5.6 Luna pulls furthest ahead on
- GDPVal47.2 vs 41.8
- SWE-bench Pro62.7 vs 58.6
- LMArena · WebDev1520 vs 1512
Every shared benchmark69 · grouped by area
Reasoning 7
Coding 6
Agentic 7
Factuality 3
Instruction Following 1
Long Context 1
Math 5
Multimodal 2
Other shared benchmarks 37
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, direct), otherwise the lowest tracked offer.