GLM-5.1 vs GLM-5.2
Detailed pricing comparison and cost analysis.
Updated August 2026
Cost Simulator
| Feature | GLM-5.1 | GLM-5.2 |
|---|---|---|
| Provider | Zhipu AI | Zhipu AI |
| Input Price (1M) | $1.40 | $1.40 |
| Output Price (1M) | $4.40 | $4.40 |
| Context Window | 1,000,000 | 1,000,000 |
Verdict
GLM-5.1 costs $1.40 per 1M input tokens and $4.40 per 1M output tokens. GLM-5.2 costs $1.40 per 1M input tokens and $4.40 per 1M output tokens. GLM-5.1 and GLM-5.2 have identical input token pricing. For output tokens, GLM-5.1 is the more affordable option at $4.40/1M 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-5.2
- ✓ 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-5.2? ▼
GLM-5.1 and GLM-5.2 have identical input token pricing at $1.40/1M tokens.
What is the context window of GLM-5.1 vs GLM-5.2? ▼
GLM-5.1 has a 1,000,000-token context window. GLM-5.2 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-5.2? ▼
The best choice depends on your use case. For cost efficiency on input tokens, GLM-5.1 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.