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MiniMax M2.5 vs GPT-5.2 Codex

A detailed comparison of MiniMax M2.5 (MiniMax) and GPT-5.2 Codex (OpenAI) across pricing, performance, and features.

Pricing Comparison

MetricMiniMax M2.5GPT-5.2 CodexDifference
Input / 1M tokens$0.30$1.75+483%
Output / 1M tokens$1.20$14.00+1067%
Context window200K200K
Max output128K65.536K

Benchmark Comparison

BenchmarkMiniMax M2.5GPT-5.2 Codex
MMLU-Pro82%89%
HumanEval90%95.5%
GPQA76%

Capabilities

CapabilityMiniMax M2.5GPT-5.2 Codex
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-5.2 Codex Strengths

  • Strong coding performance
  • Available via API now
  • 200K context window

GPT-5.2 Codex Weaknesses

  • Being superseded by 5.3
  • Higher output cost than some competitors

Quick Verdict

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

Higher benchmarks: GPT-5.2 Codex scores higher on average across available benchmarks (86.8% avg).

Choose MiniMax M2.5 if cost matters most. Choose GPT-5.2 Codex if you need the best possible quality for complex tasks.

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