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MiniMax M2.5 vs GPT-5

A detailed comparison of MiniMax M2.5 (MiniMax) and GPT-5 (OpenAI) across pricing, performance, and features.

Pricing Comparison

MetricMiniMax M2.5GPT-5Difference
Input / 1M tokens$0.30$1.25+317%
Output / 1M tokens$1.20$10.00+733%
Context window200K128K
Max output128K16.384K

Benchmark Comparison

BenchmarkMiniMax M2.5GPT-5
MMLU-Pro82%88.5%
HumanEval90%95%
GPQA73.5%

Capabilities

CapabilityMiniMax M2.5GPT-5
audio
code
reasoning
text
tool-use
vision

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

GPT-5 Strengths

  • Strong all-around performance
  • Good price for flagship tier
  • Multimodal including audio

GPT-5 Weaknesses

  • 128K context vs 200K+ for newer models
  • Codex variants better for pure coding

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: MiniMax M2.5 supports 200K tokens.

Choose MiniMax M2.5 if cost matters most. Choose GPT-5 if you need the best possible quality for complex tasks.

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