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GLM-4.7-FlashX vs Claude Opus 4

Detailed pricing comparison and cost analysis.

Updated September 2026

Cost Simulator

GLM-4.7-FlashX Cost
$0.15
Claude Opus 4 Cost
$30.00
GLM-4.7-FlashX is 100% cheaper
FeatureGLM-4.7-FlashXClaude Opus 4
ProviderZhipu AIAnthropic
Input Price (1M)$0.07$15.00
Output Price (1M)$0.40$75.00
Context Window202,752200,000

Verdict

GLM-4.7-FlashX costs $0.07 per 1M input tokens and $0.40 per 1M output tokens. Claude Opus 4 costs $15.00 per 1M input tokens and $75.00 per 1M output tokens. GLM-4.7-FlashX is 100% cheaper on input tokens than Claude Opus 4. For output tokens, GLM-4.7-FlashX is the more affordable option at $0.40/1M vs $75.00.

On context window, GLM-4.7-FlashX supports 202,752 tokens — meaning it can fit more conversation history, documents, or code in a single request. This matters for RAG pipelines, long document analysis, and agentic workflows where context builds up over many turns.

When to choose GLM-4.7-FlashX

  • ✓ You need the lowest input token cost ($ 0.07/1M)
  • ✓ Your workload is output-heavy — GLM-4.7-FlashX generates text cheaper
  • ✓ You need a larger context window (202,752 tokens)
  • ✓ You are already integrated with Zhipu AI

When to choose Claude Opus 4

  • ✓ You are already integrated with Anthropic

Use the calculator above to simulate your specific workload and find the exact break-even point. For most applications, the cheapest model is the one that minimises your total monthly bill given your input-to-output token ratio.

Frequently Asked Questions

Is GLM-4.7-FlashX cheaper than Claude Opus 4?

GLM-4.7-FlashX is cheaper on input tokens at $0.07/1M vs $15.00/1M for Claude Opus 4 — a 100% saving.

What is the context window of GLM-4.7-FlashX vs Claude Opus 4?

GLM-4.7-FlashX has a 202,752-token context window. Claude Opus 4 has a 200,000-token context window. GLM-4.7-FlashX supports the larger context, suitable for longer documents and agentic workflows.

Which model is better: GLM-4.7-FlashX or Claude Opus 4?

The best choice depends on your use case. For cost efficiency on input tokens, GLM-4.7-FlashX is the cheaper option. For maximum context length, GLM-4.7-FlashX supports 202,752 tokens. Use the comparison table above to find the right fit for your workload.