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Gemini 3.7 Flash vs Qwen3.6 27B

Gemini 3.7 Flash (Google DeepMind) and Qwen3.6 27B (Alibaba) compared on benchmarks, pricing, context window, and use-case rankings.

AttributeGemini 3.7 FlashGoogle DeepMind · 1 in the newsQwen3.6 27BAlibaba · 3 in the news
Scores
Intelligence (ECI)157146
Coding8838
Math7344
Reasoning & Knowledge8236
Agentic & Tools9472
Specifications
DeveloperGoogle DeepMindAlibaba
FamilyGeminiQwen
ReleasedAug 13, 2026Apr 22, 2026
Parameters——
AvailabilityAPI accessOpen weights (unrestricted)
Context window1M262K
Price — $/M input$0.75$0.30
Price — $/M output$3.75$2.00
Inputstext, image, video, file, audiotext, image, video
Outputstexttext
Benchmarks
AIME 2024/202597%91%
APEX68%—
ARC-AGI96%—
ARC-AGI-285%—
GPQA Diamond95%86%
Humanity's Last Exam39%23%
SciCode60%43%
SimpleQA Verified69%—
WebDev Arena1587—
τ²-bench—94%

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 Qwen3.6 27B?

On Epoch AI's Capabilities Index, Gemini 3.7 Flash scores higher (157) than Qwen3.6 27B (146). 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 Qwen3.6 27B?

Qwen3.6 27B is cheaper on input tokens at $0.30 per million, versus $0.75 (representative OpenRouter pricing).

Which has a larger context window, Gemini 3.7 Flash or Qwen3.6 27B?

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

Which is better for coding, Gemini 3.7 Flash or Qwen3.6 27B?

Across coding benchmarks like SWE-bench Verified and Terminal-Bench, Gemini 3.7 Flash ranks higher — 88th vs 38th 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.