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MiniMax M2.5 vs GPT-5.3 Codex

A detailed comparison of MiniMax M2.5 (MiniMax) and GPT-5.3 Codex (OpenAI) across pricing, performance, and features.

Pricing Comparison

MetricMiniMax M2.5GPT-5.3 CodexDifference
Input / 1M tokens$0.30$2.00+567%
Output / 1M tokens$1.20$16.00+1233%
Context window200K200K
Max output128K65.536K

Benchmark Comparison

BenchmarkMiniMax M2.5GPT-5.3 Codex
MMLU-Pro82%90%
HumanEval90%96.5%
GPQA78%

Capabilities

CapabilityMiniMax M2.5GPT-5.3 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-5.3 Codex Strengths

  • Best coding model from OpenAI
  • Large output window (65K tokens)
  • Strong reasoning for complex tasks

GPT-5.3 Codex Weaknesses

  • API access not yet available
  • Premium pricing

Quick Verdict

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

Higher benchmarks: GPT-5.3 Codex scores higher on average across available benchmarks (88.2% avg).

Choose MiniMax M2.5 if cost matters most. Choose GPT-5.3 Codex if you need the best possible quality for complex tasks.

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