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Gemini 3.1 Pro vs Qwen3.5-27B
Gemini 3.1 Pro (Google DeepMind) and Qwen3.5-27B (Alibaba) compared on benchmarks, pricing, context window, and use-case rankings.
- Gemini 3.1 Pro ranks higher for coding (68th vs 24th percentile).
Scores
Intelligence (ECI)156—
Coding6824
Math76—
Reasoning & Knowledge9616
Agentic & Tools88—
Specifications
DeveloperGoogle DeepMindAlibaba
FamilyGeminiQwen
ReleasedFeb 19, 2026Feb 24, 2026
Parameters——
AvailabilityAPI accessOpen weights (restricted use)
Context window—262K
Price — $/M input—$0.20
Price — $/M output—$1.56
Inputs—text, image, video
Outputs—text
Benchmarks
AIME 2024/202596%—
APEX34%—
ARC-AGI98%—
ARC-AGI-277%—
FrontierMath37%—
FrontierMath Tier 417%—
GPQA Diamond94%—
GSO (code optimization)23%—
Humanity's Last Exam46%—
METR task horizon6.4 h—
SimpleBench80%—
SimpleQA Verified77%—
SWE-bench Verified76%—
Terminal-Bench80%—
WebDev Arena14611357
WeirdML72%40%
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 better for coding, Gemini 3.1 Pro or Qwen3.5-27B?
Across coding benchmarks like SWE-bench Verified and Terminal-Bench, Gemini 3.1 Pro ranks higher — 68th vs 24th 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.