GPT-4o vs GLM-4.7-FlashX
Detailed pricing comparison and cost analysis.
Updated September 2026
Cost Simulator
| Feature | GPT-4o | GLM-4.7-FlashX |
|---|---|---|
| Provider | OpenAI | Zhipu AI |
| Input Price (1M) | $2.50 | $0.07 |
| Output Price (1M) | $10.00 | $0.40 |
| Context Window | 128,000 | 202,752 |
Verdict
GPT-4o costs $2.50 per 1M input tokens and $10.00 per 1M output tokens. GLM-4.7-FlashX costs $0.07 per 1M input tokens and $0.40 per 1M output tokens. GLM-4.7-FlashX is 97% cheaper on input tokens than GPT-4o. For output tokens, GLM-4.7-FlashX is the more affordable option at $0.40/1M vs $10.00.
On context window, GLM-4.7-FlashX supports 202,752 tokens — meaning it can fit more conversation history, documents, or code in a single request. This matters for RAG pipelines, long document analysis, and agentic workflows where context builds up over many turns.
When to choose GPT-4o
- ✓ You are already integrated with OpenAI
When to choose GLM-4.7-FlashX
- ✓ You need the lowest input token cost ($ 0.07/1M)
- ✓ Your workload is output-heavy — GLM-4.7-FlashX generates text cheaper
- ✓ You need a larger context window (202,752 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 cheaper than GLM-4.7-FlashX? ▼
GLM-4.7-FlashX is cheaper on input tokens at $0.07/1M vs $2.50/1M for GPT-4o — a 97% saving.
What is the context window of GPT-4o vs GLM-4.7-FlashX? ▼
GPT-4o has a 128,000-token context window. GLM-4.7-FlashX has a 202,752-token context window. GLM-4.7-FlashX supports the larger context, suitable for longer documents and agentic workflows.
Which model is better: GPT-4o or GLM-4.7-FlashX? ▼
The best choice depends on your use case. For cost efficiency on input tokens, GLM-4.7-FlashX is the cheaper option. For maximum context length, GLM-4.7-FlashX supports 202,752 tokens. Use the comparison table above to find the right fit for your workload.