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GLM-5.1 vs GLM-5.3-Flash

Detailed pricing comparison and cost analysis.

Updated August 2026

Cost Simulator

GLM-5.1 Cost
$2.28
GLM-5.3-Flash Cost
$0.13
GLM-5.3-Flash is 95% cheaper
FeatureGLM-5.1GLM-5.3-Flash
ProviderZhipu AIZhipu AI
Input Price (1M)$1.40$0.07
Output Price (1M)$4.40$0.25
Context Window1,000,0001,000,000

Verdict

GLM-5.1 costs $1.40 per 1M input tokens and $4.40 per 1M output tokens. GLM-5.3-Flash costs $0.07 per 1M input tokens and $0.25 per 1M output tokens. GLM-5.3-Flash is 95% cheaper on input tokens than GLM-5.1. For output tokens, GLM-5.3-Flash is the more affordable option at $0.25/1M vs $4.40.

On context window, GLM-5.1 supports 1,000,000 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-5.1

  • ✓ You are already integrated with Zhipu AI

When to choose GLM-5.3-Flash

  • ✓ You need the lowest input token cost ($ 0.07/1M)
  • ✓ Your workload is output-heavy — GLM-5.3-Flash generates text cheaper
  • ✓ You are already integrated with Zhipu AI

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-5.1 cheaper than GLM-5.3-Flash?

GLM-5.3-Flash is cheaper on input tokens at $0.07/1M vs $1.40/1M for GLM-5.1 — a 95% saving.

What is the context window of GLM-5.1 vs GLM-5.3-Flash?

GLM-5.1 has a 1,000,000-token context window. GLM-5.3-Flash has a 1,000,000-token context window. GLM-5.1 supports the larger context, suitable for longer documents and agentic workflows.

Which model is better: GLM-5.1 or GLM-5.3-Flash?

The best choice depends on your use case. For cost efficiency on input tokens, GLM-5.3-Flash is the cheaper option. For maximum context length, GLM-5.1 supports 1,000,000 tokens. Use the comparison table above to find the right fit for your workload.