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GPT-5 vs GLM-4.7

A detailed comparison of GPT-5 (OpenAI) and GLM-4.7 (Zhipu AI) across pricing, performance, and features.

Pricing Comparison

MetricGPT-5GLM-4.7Difference
Input / 1M tokens$1.25$0.60-52%
Output / 1M tokens$10.00$2.20-78%
Context window128K200K
Max output16.384K128K

Benchmark Comparison

BenchmarkGPT-5GLM-4.7
MMLU-Pro88.5%84.3%
HumanEval95%
GPQA73.5%85.7%

Capabilities

CapabilityGPT-5GLM-4.7
audio
code
reasoning
text
tool-use
vision

GPT-5 Strengths

  • Strong all-around performance
  • Good price for flagship tier
  • Multimodal including audio

GPT-5 Weaknesses

  • 128K context vs 200K+ for newer models
  • Codex variants better for pure coding

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 scores higher on average across available benchmarks (85.7% avg).

Larger context: GLM-4.7 supports 200K tokens.

Choose GLM-4.7 if cost matters most. Choose GPT-5 if you need the best possible quality for complex tasks.

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