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Gemini 3 Pro vs MiniMax M2.5

A detailed comparison of Gemini 3 Pro (Google) and MiniMax M2.5 (MiniMax) across pricing, performance, and features.

Pricing Comparison

MetricGemini 3 ProMiniMax M2.5Difference
Input / 1M tokens$2.00$0.30-85%
Output / 1M tokens$12.00$1.20-90%
Context window1M200K
Max output65.536K128K

Benchmark Comparison

BenchmarkGemini 3 ProMiniMax M2.5
MMLU-Pro89.8%82%
HumanEval94%90%
GPQA77%

Capabilities

CapabilityGemini 3 ProMiniMax M2.5
audio
code
reasoning
text
tool-use
vision

Gemini 3 Pro Strengths

  • Stable and well-tested
  • 1M token context window
  • Strong multimodal with audio

Gemini 3 Pro Weaknesses

  • Being superseded by 3.1 Pro
  • 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 Pro scores higher on average across available benchmarks (86.9% avg).

Larger context: Gemini 3 Pro supports 1M tokens.

Choose MiniMax M2.5 if cost matters most. Choose Gemini 3 Pro if you need the best possible quality for complex tasks.

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