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GPT-5.2 Codex vs GLM-4.7

A detailed comparison of GPT-5.2 Codex (OpenAI) and GLM-4.7 (Zhipu AI) across pricing, performance, and features.

Pricing Comparison

MetricGPT-5.2 CodexGLM-4.7Difference
Input / 1M tokens$1.75$0.60-66%
Output / 1M tokens$14.00$2.20-84%
Context window200K200K
Max output65.536K128K

Benchmark Comparison

BenchmarkGPT-5.2 CodexGLM-4.7
MMLU-Pro89%84.3%
HumanEval95.5%
GPQA76%85.7%

Capabilities

CapabilityGPT-5.2 CodexGLM-4.7
code
reasoning
text
tool-use
vision

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  • Being superseded by 5.3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

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: GLM-4.7 is the more affordable option at $0.6/$2.2 per 1M tokens.

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

Choose GLM-4.7 if cost matters most. Choose GPT-5.2 Codex if you need the best possible quality for complex tasks.

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