Gemini 3.1 Pro vs GPT-5.6 Luna
52 SHARED BENCHMARKSAcross 52 shared benchmarks, Gemini 3.1 Pro scores higher on 22 and GPT-5.6 Luna on 30. The widest gap is DeepSWE, where GPT-5.6 Luna scores 67.2 against 10. GPT-5.6 Luna is the cheaper of the two on tracked API pricing ($0.20 against $2.00 per million input tokens).
At a glance
Release dates per Artificial Analysis. Prices: Google's own price page for Gemini 3.1 Pro; OpenAI's own price page for GPT-5.6 Luna. ◆ = independently verified score.
Where each leadsby capability area · benchmark wins
Biggest gaps
Gemini 3.1 Pro pulls furthest ahead on
- AA-Omniscience · Non-hallucination49.1 vs 7.4
- SimpleQA Verified73.5 vs 41
- SimpleBench79.6 vs 46.8
GPT-5.6 Luna pulls furthest ahead on
- GDPVal47.2 vs 13.8
- Terminal-Bench 4.011.6 vs 4
- MRCR v2 8 needle 128k (average)74.8 vs 26.3
Every shared benchmark52 · grouped by area
Reasoning 7
Coding 7
Agentic 7
Factuality 3
Instruction Following 1
Long Context 2
Math 5
Multimodal 3
Other shared benchmarks 17
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 (google-official, openai-official), otherwise the lowest tracked offer.