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Gemini 3.1 Pro vs MiniMax M2.5

A detailed comparison of Gemini 3.1 Pro (Google) and MiniMax M2.5 (MiniMax) across pricing, performance, and features.

Pricing Comparison

MetricGemini 3.1 ProMiniMax M2.5Difference
Input / 1M tokens$2.00$0.30-85%
Output / 1M tokens$12.00$1.20-90%
Context window1M200K
Max output64K128K

Benchmark Comparison

BenchmarkGemini 3.1 ProMiniMax M2.5
MMLU-Pro91%82%
HumanEval95%90%
GPQA94.3%

Capabilities

CapabilityGemini 3.1 ProMiniMax M2.5
audio
code
reasoning
text
tool-use
vision

Gemini 3.1 Pro Strengths

  • #1 on 12 of 18 tracked benchmarks
  • 94.3% GPQA Diamond — highest of any model
  • Same price as Gemini 3 Pro (free upgrade)
  • 1M context with configurable thinking levels

Gemini 3.1 Pro Weaknesses

  • Still in preview
  • Context-tiered pricing ($4/$18 above 200K)

MiniMax M2.5 Strengths

  • Frontier quality at budget pricing ($0.30/$1.20)
  • 80.2% SWE-Bench Verified — among the best
  • Open-source (MIT) with 10B active params — easy to run

MiniMax M2.5 Weaknesses

  • Text-only — no vision or audio
  • No tool-use support
  • Newer provider — smaller ecosystem

Quick Verdict

Best value: MiniMax M2.5 is the more affordable option at $0.3/$1.2 per 1M tokens.

Higher benchmarks: Gemini 3.1 Pro scores higher on average across available benchmarks (93.4% avg).

Larger context: Gemini 3.1 Pro supports 1M tokens.

Choose MiniMax M2.5 if cost matters most. Choose Gemini 3.1 Pro if you need the best possible quality for complex tasks.

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