GLM-4.7-FlashX vs Mistral Small 3
Detailed pricing comparison and cost analysis.
Updated September 2026
Cost Simulator
| Feature | GLM-4.7-FlashX | Mistral Small 3 |
|---|---|---|
| Provider | Zhipu AI | Mistral |
| Input Price (1M) | $0.07 | $0.03 |
| Output Price (1M) | $0.40 | $0.11 |
| Context Window | 202,752 | 33,000 |
Verdict
GLM-4.7-FlashX costs $0.07 per 1M input tokens and $0.40 per 1M output tokens. Mistral Small 3 costs $0.03 per 1M input tokens and $0.11 per 1M output tokens. Mistral Small 3 is 57% cheaper on input tokens than GLM-4.7-FlashX. For output tokens, Mistral Small 3 is the more affordable option at $0.11/1M vs $0.40.
On context window, GLM-4.7-FlashX supports 202,752 tokens — meaning it can fit more conversation history, documents, or code in a single request. This matters for RAG pipelines, long document analysis, and agentic workflows where context builds up over many turns.
When to choose GLM-4.7-FlashX
- ✓ You need a larger context window (202,752 tokens)
- ✓ You are already integrated with Zhipu AI
When to choose Mistral Small 3
- ✓ You need the lowest input token cost ($ 0.03/1M)
- ✓ Your workload is output-heavy — Mistral Small 3 generates text cheaper
- ✓ You are already integrated with Mistral
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-FlashX cheaper than Mistral Small 3? ▼
Mistral Small 3 is cheaper on input tokens at $0.03/1M vs $0.07/1M for GLM-4.7-FlashX — a 57% saving.
What is the context window of GLM-4.7-FlashX vs Mistral Small 3? ▼
GLM-4.7-FlashX has a 202,752-token context window. Mistral Small 3 has a 33,000-token context window. GLM-4.7-FlashX supports the larger context, suitable for longer documents and agentic workflows.
Which model is better: GLM-4.7-FlashX or Mistral Small 3? ▼
The best choice depends on your use case. For cost efficiency on input tokens, Mistral Small 3 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.