Gemini 3.5 Flash vs GPT-5.6 Luna
45 SHARED BENCHMARKSAcross 45 shared benchmarks, Gemini 3.5 Flash scores higher on 23 and GPT-5.6 Luna on 22. The widest gap is AA-Omniscience · Non-hallucination, where Gemini 3.5 Flash scores 37.8 against 7.4. GPT-5.6 Luna is the cheaper of the two on tracked API pricing ($0.20 against $1.50 per million input tokens).
At a glance
Release dates per Artificial Analysis. Prices: Google's own price page for Gemini 3.5 Flash; OpenAI's own price page for GPT-5.6 Luna. ◆ = independently verified score.
Where each leadsby capability area · benchmark wins
Biggest gaps
Gemini 3.5 Flash pulls furthest ahead on
- AA-Omniscience · Non-hallucination37.8 vs 7.4
- SimpleBench76.7 vs 46.8
- SimpleQA Verified66.2 vs 41
GPT-5.6 Luna pulls furthest ahead on
- MRCR v2 8 needle 128k (average)74.8 vs 26.6
- FrontierMath Tier 458.5 vs 26.8
- Terminal-Bench 4.011.6 vs 6.6
Every shared benchmark45 · grouped by area
Reasoning 6
Coding 6
Agentic 6
Factuality 3
Instruction Following 1
Long Context 2
Math 5
Multimodal 3
Other shared benchmarks 13
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.