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Gemini 3.1 Pro vs Qwen3-Max-Thinking

Gemini 3.1 Pro (Google DeepMind) and Qwen3-Max-Thinking (Alibaba) compared on benchmarks, pricing, context window, and use-case rankings.

AttributeGemini 3.1 ProGoogle DeepMind · 3 in the newsQwen3-Max-ThinkingAlibaba · 2 in the news
Scores
Intelligence (ECI)155
Coding6555
Math74
Reasoning & Knowledge9457
Agentic & Tools8340
Specifications
DeveloperGoogle DeepMindAlibaba
FamilyGeminiQwen
ReleasedFeb 19, 2026Jan 25, 2026
Parameters
AvailabilityAPI accessAPI access
Context window262K
Price — $/M input$0.78
Price — $/M output$3.90
Inputstext
Outputstext
Benchmarks
AIME 2024/202596%
APEX34%
ARC-AGI98%
ARC-AGI-277%
FrontierMath37%
FrontierMath Tier 417%
GPQA Diamond94%86%
GSO (code optimization)23%
Humanity's Last Exam46%26%
METR task horizon6.4 h
SimpleBench80%
SimpleQA Verified77%
SWE-bench Verified76%
Terminal-Bench80%
WebDev Arena1461
WeirdML72%
SciCode43%
τ²-bench84%

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-Max-Thinking?

Across coding benchmarks like SWE-bench Verified and Terminal-Bench, Gemini 3.1 Pro ranks higher — 65th vs 55th 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.