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Gemini 3.7 Flash vs GPT-5.6 Luna

Gemini 3.7 Flash (Google DeepMind) and GPT-5.6 Luna (OpenAI) compared on benchmarks, pricing, context window, and use-case rankings.

AttributeGemini 3.7 FlashGoogle DeepMind · 1 in the newsGPT-5.6 LunaOpenAI · 6 in the news
Scores
Intelligence (ECI)157156
Coding8869
Math7380
Reasoning & Knowledge8149
Agentic & Tools9451
Specifications
DeveloperGoogle DeepMindOpenAI
FamilyGeminiGPT
ReleasedAug 13, 2026Jul 9, 2026
Parameters——
AvailabilityAPI accessAPI access
Context window1M1.1M
Price — $/M input$0.75$0.20
Price — $/M output$3.75$1.20
Inputstext, image, video, file, audiofile, image, text
Outputstexttext
Benchmarks
AIME 2024/202597%98%
APEX68%43%
ARC-AGI96%88%
ARC-AGI-285%60%
GPQA Diamond95%92%
Humanity's Last Exam39%40%
SciCode60%54%
SimpleQA Verified69%41%
WebDev Arena15871519
SimpleBench—47%
WeirdML—61%

Use-case scores are 0–100 percentile composites across each area’s benchmarks, ranked against every model from the past year. Highlighted cells lead each row. Open a model for the full picture.

Frequently asked questions

Is Gemini 3.7 Flash better than GPT-5.6 Luna?

On Epoch AI's Capabilities Index, Gemini 3.7 Flash scores higher (157) than GPT-5.6 Luna (156). The right pick depends on your task — compare their coding, math, and reasoning scores in the table above.

Which is cheaper, Gemini 3.7 Flash or GPT-5.6 Luna?

GPT-5.6 Luna is cheaper on input tokens at $0.20 per million, versus $0.75 (representative OpenRouter pricing).

Which has a larger context window, Gemini 3.7 Flash or GPT-5.6 Luna?

GPT-5.6 Luna supports up to 1.1M tokens, compared with 1M for the other.

Which is better for coding, Gemini 3.7 Flash or GPT-5.6 Luna?

Across coding benchmarks like SWE-bench Verified and Terminal-Bench, Gemini 3.7 Flash ranks higher — 88th vs 69th percentile among the models tracked on Model Beat.

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Benchmarks & model data from Epoch AI (CC BY); pricing & specs from OpenRouter. ECI = Epoch Capabilities Index.