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GPT-4o Mini vs GLM-4.7

A detailed comparison of GPT-4o Mini (OpenAI) and GLM-4.7 (Zhipu AI) across pricing, performance, and features.

Pricing Comparison

MetricGPT-4o MiniGLM-4.7Difference
Input / 1M tokens$0.15$0.60+300%
Output / 1M tokens$0.60$2.20+267%
Context window128K200K
Max output16.384K128K

Benchmark Comparison

BenchmarkGPT-4o MiniGLM-4.7
MMLU-Pro68%84.3%
HumanEval87.2%
GPQA85.7%

Capabilities

CapabilityGPT-4o MiniGLM-4.7
code
reasoning
text
tool-use
vision

GPT-4o Mini Strengths

  • Extremely cheap
  • Fast responses
  • Good enough for many production tasks

GPT-4o Mini Weaknesses

  • Weaker reasoning than full models
  • Can hallucinate more on complex topics

GLM-4.7 Strengths

  • Excellent value — strong benchmarks at $0.60/$2.20
  • Open-weight (MIT license)
  • Top scores on AIME 25 and BrowseComp

GLM-4.7 Weaknesses

  • No tool-use support yet
  • 358B parameters — still heavy for self-hosting
  • Smaller ecosystem than OpenAI/Anthropic

Quick Verdict

Best value: GPT-4o Mini is the more affordable option at $0.15/$0.6 per 1M tokens.

Higher benchmarks: GLM-4.7 scores higher on average across available benchmarks (85.0% avg).

Larger context: GLM-4.7 supports 200K tokens.

Choose GPT-4o Mini if cost matters most. Choose GLM-4.7 if you need the best possible quality for complex tasks.

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