← All Comparisons

GLM-5 vs GLM-4.7

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

Pricing Comparison

MetricGLM-5GLM-4.7Difference
Input / 1M tokens$1.00$0.60-40%
Output / 1M tokens$3.20$2.20-31%
Context window200K200K
Max output128K128K

Benchmark Comparison

BenchmarkGLM-5GLM-4.7
MMLU-Pro70.4%84.3%
HumanEval91%
GPQA72%85.7%

Capabilities

CapabilityGLM-5GLM-4.7
code
reasoning
text
tool-use
vision

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

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

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

More Comparisons