Grok 4.1 Fast vs GLM-4.7
Detailed pricing comparison and cost analysis.
Updated September 2026
Cost Simulator
| Feature | Grok 4.1 Fast | GLM-4.7 |
|---|---|---|
| Provider | xAI | Zhipu AI |
| Input Price (1M) | $0.20 | $0.60 |
| Output Price (1M) | $0.50 | $2.20 |
| Context Window | 2,000,000 | 204,800 |
Verdict
Grok 4.1 Fast costs $0.20 per 1M input tokens and $0.50 per 1M output tokens. GLM-4.7 costs $0.60 per 1M input tokens and $2.20 per 1M output tokens. Grok 4.1 Fast is 67% cheaper on input tokens than GLM-4.7. For output tokens, Grok 4.1 Fast is the more affordable option at $0.50/1M vs $2.20.
On context window, Grok 4.1 Fast supports 2,000,000 tokens — meaning it can fit more conversation history, documents, or code in a single request. This matters for RAG pipelines, long document analysis, and agentic workflows where context builds up over many turns.
When to choose Grok 4.1 Fast
- ✓ You need the lowest input token cost ($ 0.20/1M)
- ✓ Your workload is output-heavy — Grok 4.1 Fast generates text cheaper
- ✓ You need a larger context window (2,000,000 tokens)
- ✓ You are already integrated with xAI
When to choose GLM-4.7
- ✓ 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 Grok 4.1 Fast cheaper than GLM-4.7? ▼
Grok 4.1 Fast is cheaper on input tokens at $0.20/1M vs $0.60/1M for GLM-4.7 — a 67% saving.
What is the context window of Grok 4.1 Fast vs GLM-4.7? ▼
Grok 4.1 Fast has a 2,000,000-token context window. GLM-4.7 has a 204,800-token context window. Grok 4.1 Fast supports the larger context, suitable for longer documents and agentic workflows.
Which model is better: Grok 4.1 Fast or GLM-4.7? ▼
The best choice depends on your use case. For cost efficiency on input tokens, Grok 4.1 Fast is the cheaper option. For maximum context length, Grok 4.1 Fast supports 2,000,000 tokens. Use the comparison table above to find the right fit for your workload.