GLM-4.7-FlashX vs Mistral Medium 3.5
Detailed pricing comparison and cost analysis.
Updated September 2026
Cost Simulator
| Feature | GLM-4.7-FlashX | Mistral Medium 3.5 |
|---|---|---|
| Provider | Zhipu AI | Mistral |
| Input Price (1M) | $0.07 | $1.50 |
| Output Price (1M) | $0.40 | $7.50 |
| Context Window | 202,752 | 262,000 |
Verdict
GLM-4.7-FlashX costs $0.07 per 1M input tokens and $0.40 per 1M output tokens. Mistral Medium 3.5 costs $1.50 per 1M input tokens and $7.50 per 1M output tokens. GLM-4.7-FlashX is 95% cheaper on input tokens than Mistral Medium 3.5. For output tokens, GLM-4.7-FlashX is the more affordable option at $0.40/1M vs $7.50.
On context window, Mistral Medium 3.5 supports 262,000 tokens — meaning it can fit more conversation history, documents, or code in a single request. This matters for RAG pipelines, long document analysis, and agentic workflows where context builds up over many turns.
When to choose GLM-4.7-FlashX
- ✓ You need the lowest input token cost ($ 0.07/1M)
- ✓ Your workload is output-heavy — GLM-4.7-FlashX generates text cheaper
- ✓ You are already integrated with Zhipu AI
When to choose Mistral Medium 3.5
- ✓ You need a larger context window (262,000 tokens)
- ✓ 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 Medium 3.5? ▼
GLM-4.7-FlashX is cheaper on input tokens at $0.07/1M vs $1.50/1M for Mistral Medium 3.5 — a 95% saving.
What is the context window of GLM-4.7-FlashX vs Mistral Medium 3.5? ▼
GLM-4.7-FlashX has a 202,752-token context window. Mistral Medium 3.5 has a 262,000-token context window. Mistral Medium 3.5 supports the larger context, suitable for longer documents and agentic workflows.
Which model is better: GLM-4.7-FlashX or Mistral Medium 3.5? ▼
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, Mistral Medium 3.5 supports 262,000 tokens. Use the comparison table above to find the right fit for your workload.