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Claude Opus 4.6 vs GLM-4.7

A detailed comparison of Claude Opus 4.6 (Anthropic) and GLM-4.7 (Zhipu AI) across pricing, performance, and features.

Pricing Comparison

MetricClaude Opus 4.6GLM-4.7Difference
Input / 1M tokens$5.00$0.60-88%
Output / 1M tokens$25.00$2.20-91%
Context window200K200K
Max output32K128K

Benchmark Comparison

BenchmarkClaude Opus 4.6GLM-4.7
MMLU-Pro89.5%84.3%
HumanEval95%
GPQA75.5%85.7%

Capabilities

CapabilityClaude Opus 4.6GLM-4.7
code
reasoning
text
tool-use
vision

Claude Opus 4.6 Strengths

  • Best-in-class agentic tool use and coding
  • 1M context available in beta (Tier 4)
  • Strong at following complex multi-step instructions

Claude Opus 4.6 Weaknesses

  • Premium pricing ($10/$37.50 at 1M context)
  • 1M context beta is Tier 4 only

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: Claude Opus 4.6 scores higher on average across available benchmarks (86.7% avg).

Choose GLM-4.7 if cost matters most. Choose Claude Opus 4.6 if you need the best possible quality for complex tasks.

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