Claude Sonnet 4 vs GLM-4.7
Detailed pricing comparison and cost analysis.
Updated September 2026
Cost Simulator
| Feature | Claude Sonnet 4 | GLM-4.7 |
|---|---|---|
| Provider | Anthropic | Zhipu AI |
| Input Price (1M) | $3.00 | $0.60 |
| Output Price (1M) | $15.00 | $2.20 |
| Context Window | 200,000 | 204,800 |
Verdict
Claude Sonnet 4 costs $3.00 per 1M input tokens and $15.00 per 1M output tokens. GLM-4.7 costs $0.60 per 1M input tokens and $2.20 per 1M output tokens. GLM-4.7 is 80% cheaper on input tokens than Claude Sonnet 4. For output tokens, GLM-4.7 is the more affordable option at $2.20/1M vs $15.00.
On context window, GLM-4.7 supports 204,800 tokens — meaning it can fit more conversation history, documents, or code in a single request. This matters for RAG pipelines, long document analysis, and agentic workflows where context builds up over many turns.
When to choose Claude Sonnet 4
- ✓ You are already integrated with Anthropic
When to choose GLM-4.7
- ✓ You need the lowest input token cost ($ 0.60/1M)
- ✓ Your workload is output-heavy — GLM-4.7 generates text cheaper
- ✓ You need a larger context window (204,800 tokens)
- ✓ 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 Claude Sonnet 4 cheaper than GLM-4.7? ▼
GLM-4.7 is cheaper on input tokens at $0.60/1M vs $3.00/1M for Claude Sonnet 4 — a 80% saving.
What is the context window of Claude Sonnet 4 vs GLM-4.7? ▼
Claude Sonnet 4 has a 200,000-token context window. GLM-4.7 has a 204,800-token context window. GLM-4.7 supports the larger context, suitable for longer documents and agentic workflows.
Which model is better: Claude Sonnet 4 or GLM-4.7? ▼
The best choice depends on your use case. For cost efficiency on input tokens, GLM-4.7 is the cheaper option. For maximum context length, GLM-4.7 supports 204,800 tokens. Use the comparison table above to find the right fit for your workload.