GPT-4o mini vs GLM-4.7
Detailed pricing comparison and cost analysis.
Updated September 2026
Cost Simulator
| Feature | GPT-4o mini | GLM-4.7 |
|---|---|---|
| Provider | OpenAI | Zhipu AI |
| Input Price (1M) | $0.15 | $0.60 |
| Output Price (1M) | $0.60 | $2.20 |
| Context Window | 128,000 | 204,800 |
Verdict
GPT-4o mini costs $0.15 per 1M input tokens and $0.60 per 1M output tokens. GLM-4.7 costs $0.60 per 1M input tokens and $2.20 per 1M output tokens. GPT-4o mini is 75% cheaper on input tokens than GLM-4.7. For output tokens, GPT-4o mini is the more affordable option at $0.60/1M vs $2.20.
On context window, GLM-4.7 supports 204,800 tokens — meaning it can fit more conversation history, documents, or code in a single request. This matters for RAG pipelines, long document analysis, and agentic workflows where context builds up over many turns.
When to choose GPT-4o mini
- ✓ You need the lowest input token cost ($ 0.15/1M)
- ✓ Your workload is output-heavy — GPT-4o mini generates text cheaper
- ✓ You are already integrated with OpenAI
When to choose GLM-4.7
- ✓ 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 GPT-4o mini cheaper than GLM-4.7? ▼
GPT-4o mini is cheaper on input tokens at $0.15/1M vs $0.60/1M for GLM-4.7 — a 75% saving.
What is the context window of GPT-4o mini vs GLM-4.7? ▼
GPT-4o mini has a 128,000-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: GPT-4o mini or GLM-4.7? ▼
The best choice depends on your use case. For cost efficiency on input tokens, GPT-4o mini 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.