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Gemini 2.5 Pro vs MiniMax M2.5

A detailed comparison of Gemini 2.5 Pro (Google) and MiniMax M2.5 (MiniMax) across pricing, performance, and features.

Pricing Comparison

MetricGemini 2.5 ProMiniMax M2.5Difference
Input / 1M tokens$1.25$0.30-76%
Output / 1M tokens$10.00$1.20-88%
Context window1M200K
Max output65.536K128K

Benchmark Comparison

BenchmarkGemini 2.5 ProMiniMax M2.5
MMLU-Pro87.5%82%
HumanEval93.5%90%
GPQA76%

Capabilities

CapabilityGemini 2.5 ProMiniMax M2.5
audio
code
reasoning
text
tool-use
vision

Gemini 2.5 Pro Strengths

  • Competitive pricing for its capabilities
  • 1M context window
  • Well-tested and stable

Gemini 2.5 Pro Weaknesses

  • Being superseded by Gemini 3 Pro

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: MiniMax M2.5 scores higher on average across available benchmarks (86.0% avg).

Larger context: Gemini 2.5 Pro supports 1M tokens.

Choose MiniMax M2.5 if cost matters most. Choose Gemini 2.5 Pro if you need the best possible quality for complex tasks.

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