GPT-5.4 vs GPT-5.6 Luna
60 SHARED BENCHMARKSAcross 60 shared benchmarks, GPT-5.4 scores higher on 36 and GPT-5.6 Luna on 24. The widest gap is FrontierMath (overall), where GPT-5.6 Luna scores 78.6 against 47.6. GPT-5.6 Luna is the cheaper of the two on tracked API pricing ($0.20 against $2.50 per million input tokens).
At a glance
Release dates per Artificial Analysis. Prices: Artificial Analysis for GPT-5.4; Artificial Analysis for GPT-5.6 Luna. ◆ = independently verified score.
Where each leadsby capability area · benchmark wins
Biggest gaps
GPT-5.4 pulls furthest ahead on
- τ-Bench V3 · Banking39.6 vs 31.1
- ARC-AGI-273.3 vs 59.6
- AA-Omniscience · Accuracy50.9 vs 42.7
GPT-5.6 Luna pulls furthest ahead on
- GDPVal47.2 vs 36.6
- FrontierMath Tier 458.5 vs 49
- AA IT-Bench SRE40.3 vs 34.5
Every shared benchmark60 · grouped by area
Reasoning 6
Coding 6
Agentic 6
Factuality 3
Instruction Following 1
Long Context 1
Math 5
Multimodal 3
Other shared benchmarks 29
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.