GLM-4.7 vs Gemini 2.5 Pro
Detailed pricing comparison and cost analysis.
Updated September 2026
Cost Simulator
| Feature | GLM-4.7 | Gemini 2.5 Pro |
|---|---|---|
| Provider | Zhipu AI | |
| Input Price (1M) | $0.60 | $1.25 |
| Output Price (1M) | $2.20 | $10.00 |
| Context Window | 204,800 | 1,000,000 |
Verdict
GLM-4.7 costs $0.60 per 1M input tokens and $2.20 per 1M output tokens. Gemini 2.5 Pro costs $1.25 per 1M input tokens and $10.00 per 1M output tokens. GLM-4.7 is 52% cheaper on input tokens than Gemini 2.5 Pro. For output tokens, GLM-4.7 is the more affordable option at $2.20/1M vs $10.00.
On context window, Gemini 2.5 Pro supports 1,000,000 tokens — meaning it can fit more conversation history, documents, or code in a single request. This matters for RAG pipelines, long document analysis, and agentic workflows where context builds up over many turns.
When to choose GLM-4.7
- ✓ You need the lowest input token cost ($ 0.60/1M)
- ✓ Your workload is output-heavy — GLM-4.7 generates text cheaper
- ✓ You are already integrated with Zhipu AI
When to choose Gemini 2.5 Pro
- ✓ You need a larger context window (1,000,000 tokens)
- ✓ You are already integrated with Google
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 cheaper than Gemini 2.5 Pro? ▼
GLM-4.7 is cheaper on input tokens at $0.60/1M vs $1.25/1M for Gemini 2.5 Pro — a 52% saving.
What is the context window of GLM-4.7 vs Gemini 2.5 Pro? ▼
GLM-4.7 has a 204,800-token context window. Gemini 2.5 Pro has a 1,000,000-token context window. Gemini 2.5 Pro supports the larger context, suitable for longer documents and agentic workflows.
Which model is better: GLM-4.7 or Gemini 2.5 Pro? ▼
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, Gemini 2.5 Pro supports 1,000,000 tokens. Use the comparison table above to find the right fit for your workload.