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MiniMax M2.5 vs GLM-5

A detailed comparison of MiniMax M2.5 (MiniMax) and GLM-5 (Zhipu AI) across pricing, performance, and features.

Pricing Comparison

MetricMiniMax M2.5GLM-5Difference
Input / 1M tokens$0.30$1.00+233%
Output / 1M tokens$1.20$3.20+167%
Context window200K200K
Max output128K128K

Benchmark Comparison

BenchmarkMiniMax M2.5GLM-5
MMLU-Pro82%70.4%
HumanEval90%91%
GPQA72%

Capabilities

CapabilityMiniMax M2.5GLM-5
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

GLM-5 Strengths

  • Open-weight (MIT license) — self-hostable
  • 77.8% SWE-Bench Verified — top-tier coding
  • 128K max output — huge generation window

GLM-5 Weaknesses

  • MMLU-Pro lags behind Western flagships
  • 744B parameters — heavy to self-host
  • China-based — availability concerns

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).

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

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