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Gemini 3.7 Flash vs Qwen3.8 27B

Gemini 3.7 Flash (Google DeepMind) and Qwen3.8 27B (Qwen) compared on benchmarks, pricing, context window, and use-case rankings.

AttributeGemini 3.7 FlashGoogle DeepMind · 1 in the newsQwen3.8 27BQwen · 20 in the news
Scores
Intelligence (ECI)157—
Coding8849
Math73—
Reasoning & Knowledge8263
Agentic & Tools94—
Specifications
DeveloperGoogle DeepMindQwen
FamilyGeminiQwen
ReleasedAug 13, 2026Aug 14, 2026
Parameters——
AvailabilityAPI access—
Context window1M1M
Price — $/M input$0.75$0.42
Price — $/M output$3.75$3.00
Inputstext, image, video, file, audiotext, image, video
Outputstexttext
Benchmarks
AIME 2024/202597%—
APEX68%—
ARC-AGI96%—
ARC-AGI-285%—
GPQA Diamond95%91%
Humanity's Last Exam39%34%
SciCode60%47%
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 Qwen3.8 27B?

Qwen3.8 27B is cheaper on input tokens at $0.42 per million, versus $0.75 (representative OpenRouter pricing).

Which has a larger context window, Gemini 3.7 Flash or Qwen3.8 27B?

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

Which is better for coding, Gemini 3.7 Flash or Qwen3.8 27B?

Across coding benchmarks like SWE-bench Verified and Terminal-Bench, Gemini 3.7 Flash ranks higher — 88th vs 49th 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.