Mistral Medium 3.5 vs Gemini 3.1 Pro
Detailed pricing comparison and cost analysis.
Updated September 2026
Cost Simulator
| Feature | Mistral Medium 3.5 | Gemini 3.1 Pro |
|---|---|---|
| Provider | Mistral | |
| Input Price (1M) | $1.50 | $2.00 |
| Output Price (1M) | $7.50 | $12.00 |
| Context Window | 262,000 | 1,000,000 |
Verdict
Mistral Medium 3.5 costs $1.50 per 1M input tokens and $7.50 per 1M output tokens. Gemini 3.1 Pro costs $2.00 per 1M input tokens and $12.00 per 1M output tokens. Mistral Medium 3.5 is 25% cheaper on input tokens than Gemini 3.1 Pro. For output tokens, Mistral Medium 3.5 is the more affordable option at $7.50/1M vs $12.00.
On context window, Gemini 3.1 Pro supports 1,000,000 tokens — meaning it can fit more conversation history, documents, or code in a single request. This matters for RAG pipelines, long document analysis, and agentic workflows where context builds up over many turns.
When to choose Mistral Medium 3.5
- ✓ You need the lowest input token cost ($ 1.50/1M)
- ✓ Your workload is output-heavy — Mistral Medium 3.5 generates text cheaper
- ✓ You are already integrated with Mistral
When to choose Gemini 3.1 Pro
- ✓ You need a larger context window (1,000,000 tokens)
- ✓ You are already integrated with Google
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 Mistral Medium 3.5 cheaper than Gemini 3.1 Pro? ▼
Mistral Medium 3.5 is cheaper on input tokens at $1.50/1M vs $2.00/1M for Gemini 3.1 Pro — a 25% saving.
What is the context window of Mistral Medium 3.5 vs Gemini 3.1 Pro? ▼
Mistral Medium 3.5 has a 262,000-token context window. Gemini 3.1 Pro has a 1,000,000-token context window. Gemini 3.1 Pro supports the larger context, suitable for longer documents and agentic workflows.
Which model is better: Mistral Medium 3.5 or Gemini 3.1 Pro? ▼
The best choice depends on your use case. For cost efficiency on input tokens, Mistral Medium 3.5 is the cheaper option. For maximum context length, Gemini 3.1 Pro supports 1,000,000 tokens. Use the comparison table above to find the right fit for your workload.