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Gemini 3.7 Flash vs Qwen3.5-9B

Gemini 3.7 Flash (Google DeepMind) and Qwen3.5-9B (Alibaba) compared on benchmarks, pricing, context window, and use-case rankings.

AttributeGemini 3.7 FlashGoogle DeepMind · 1 in the newsQwen3.5-9BAlibaba · 1 in the news
Scores
Intelligence (ECI)157139
Coding883
Math733
Reasoning & Knowledge8218
Agentic & Tools9421
Specifications
DeveloperGoogle DeepMindAlibaba
FamilyGeminiQwen
ReleasedAug 13, 2026Feb 24, 2026
Parameters——
AvailabilityAPI accessOpen weights (restricted use)
Context window1M262K
Price — $/M input$0.75$0.10
Price — $/M output$3.75$0.15
Inputstext, image, video, file, audiotext, image, video
Outputstexttext
Benchmarks
AIME 2024/202597%62%
APEX68%—
ARC-AGI96%—
ARC-AGI-285%—
GPQA Diamond95%79%
Humanity's Last Exam39%15%
SciCode60%28%
SimpleQA Verified69%—
WebDev Arena1587—
Terminal-Bench—9%
τ²-bench—87%

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 Qwen3.5-9B?

On Epoch AI's Capabilities Index, Gemini 3.7 Flash scores higher (157) than Qwen3.5-9B (139). 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 Qwen3.5-9B?

Qwen3.5-9B is cheaper on input tokens at $0.10 per million, versus $0.75 (representative OpenRouter pricing).

Which has a larger context window, Gemini 3.7 Flash or Qwen3.5-9B?

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 Qwen3.5-9B?

Across coding benchmarks like SWE-bench Verified and Terminal-Bench, Gemini 3.7 Flash ranks higher — 88th vs 3th 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.