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Gemini 3.1 Pro vs MiniMax-M2.7

Gemini 3.1 Pro (Google DeepMind) and MiniMax-M2.7 (MiniMax) compared on benchmarks, pricing, context window, and use-case rankings.

AttributeGemini 3.1 ProGoogle DeepMind · 3 in the newsMiniMax-M2.7MiniMax · 1 in the news
Scores
Intelligence (ECI)155146
Coding6555
Math74
Reasoning & Knowledge9444
Agentic & Tools8346
Specifications
DeveloperGoogle DeepMindMiniMax
FamilyGeminiMiniMax
ReleasedFeb 19, 2026Mar 18, 2026
Parameters
AvailabilityAPI accessOpen weights (non-commercial)
Context window205K
Price — $/M input$0.25
Price — $/M output$1.00
Inputstext
Outputstext
Benchmarks
AIME 2024/202596%
APEX34%
ARC-AGI98%
ARC-AGI-277%
FrontierMath37%
FrontierMath Tier 417%
GPQA Diamond94%87%
GSO (code optimization)23%
Humanity's Last Exam46%28%
METR task horizon6.4 h
SimpleBench80%
SimpleQA Verified77%
SWE-bench Verified76%
Terminal-Bench80%45%
WebDev Arena14611401
WeirdML72%37%
SciCode47%
τ²-bench85%

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 3.1 Pro better than MiniMax-M2.7?

On Epoch AI's Capabilities Index, Gemini 3.1 Pro scores higher (155) than MiniMax-M2.7 (146). The right pick depends on your task — compare their coding, math, and reasoning scores in the table above.

Which is better for coding, Gemini 3.1 Pro or MiniMax-M2.7?

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.