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Gemini 3.7 Flash vs Kimi K2.7 Code (batch)

Gemini 3.7 Flash (Google DeepMind) and Kimi K2.7 Code (batch) (MoonshotAI) compared on benchmarks, pricing, context window, and use-case rankings.

AttributeGemini 3.7 FlashGoogle DeepMind · 1 in the newsKimi K2.7 Code (batch)MoonshotAI
Scores
Intelligence (ECI)157—
Coding88—
Math73—
Reasoning & Knowledge82—
Agentic & Tools94—
Specifications
DeveloperGoogle DeepMindMoonshotAI
FamilyGeminiKimi
ReleasedAug 13, 2026Jun 12, 2026
Parameters——
AvailabilityAPI access—
Context window1M262K
Price — $/M input$0.75$0.95
Price — $/M output$3.75$4.00
Inputstext, image, video, file, audiotext, image
Outputstexttext
Benchmarks
AIME 2024/202597%—
APEX68%—
ARC-AGI96%—
ARC-AGI-285%—
GPQA Diamond95%—
Humanity's Last Exam39%—
SciCode60%—
SimpleQA Verified69%—
WebDev Arena1587—

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

Which is cheaper, Gemini 3.7 Flash or Kimi K2.7 Code (batch)?

Gemini 3.7 Flash is cheaper on input tokens at $0.75 per million, versus $0.95 (representative OpenRouter pricing).

Which has a larger context window, Gemini 3.7 Flash or Kimi K2.7 Code (batch)?

Gemini 3.7 Flash supports up to 1M tokens, compared with 262K for the other.

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