GPT-5.5 vs GPT-6 Luna
24 SHARED BENCHMARKSAcross 24 shared benchmarks, GPT-5.5 scores higher on 20 and GPT-6 Luna on 4. The widest gap is ARC-AGI-3, where GPT-5.5 scores 0.4 against 0.1. GPT-6 Luna is the cheaper of the two on tracked API pricing ($0.10 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-6 Luna. ◆ = independently verified score.
Where each leadsby capability area · benchmark wins
Biggest gaps
GPT-5.5 pulls furthest ahead on
- ARC-AGI-285 vs 59.3
- CritPt27.1 vs 19.4
- AA-Omniscience · Accuracy58 vs 43.8
GPT-6 Luna pulls furthest ahead on
- AA-Omniscience · Non-hallucination23.3 vs 11
- LMArena · WebDev1593 vs 1512
Every shared benchmark24 · grouped by area
Reasoning 5
Coding 4
Agentic 2
Factuality 2
Instruction Following 1
Long Context 1
Math 1
Multimodal 1
Other shared benchmarks 7
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.