comparison
Gemini 2.5 Pro vs Mistral Medium 3.5
Token pricing, context window and real monthly cost, side by side. Mistral Medium 3.5 is the cheaper of the two for a typical workload — about 1.1× less.
Positioned by published specs — size, context and modality — not measured performance; a smaller model can sometimes outperform a larger one on your task.
Gemini 2.5 Pro is one class larger (Flagship vs Mid). Lean to the cheaper Mistral Medium 3.5 unless your task is demanding enough to need the larger class.
| metric | Gemini 2.5 Pro | Mistral Medium 3.5 |
|---|---|---|
| Input / 1M | $1.25 | $1.50 |
| Output / 1M | $10.00 | $7.50 |
| Context | 1.0M | 262K |
| Technical class | Flagship | Mid |
| Cost @ typical workload | $1,375/mo | $1,200/mo |
| Modality | text + image + audio + video | text + image |
| Price source | list | list |
| Provider | Mistral |
Snapshot . Cost uses a typical workload; tune it in the calculator. How we measure →
Which should you pick?
On a typical workload, Mistral Medium 3.5 costs $1,200/mo against Gemini 2.5 Pro's $1,375/mo — roughly 1.1× cheaper. But the ranking depends on your output-to-input ratio: output is the pricier direction for both, so an output-heavy job (code generation, long answers) widens the gap while an input-heavy one (summarization, retrieval) narrows it. If you need to fit more in a single prompt, Gemini 2.5 Pro has the larger 1.0M-token window (~1,573 pages). By technical class (size and context, not measured capability), Gemini 2.5 Pro is a Flagship and Mistral Medium 3.5 a Mid — so the lower price partly reflects a smaller class, not just a discount.
These are list and routed market prices, not measured outcomes. Two models at the same rate can still cost different amounts to finish the same task, because verbose or reasoning-heavy models emit more tokens. That gap is exactly what measured cost-per-task captures. The technical-class read above is likewise spec-based — size, context and modality, not measured performance — so a smaller model can still outperform a larger one on your specific task.
Frequently asked questions
Is Gemini 2.5 Pro or Mistral Medium 3.5 cheaper?
For a typical workload (1,500 input + 500 output tokens × 200,000 requests/month), Mistral Medium 3.5 costs $1,200/mo versus $1,375/mo for Gemini 2.5 Pro — about 1.1× less. Because output is priced higher than input, the winner can flip if your workload writes much more or less than this; check your own numbers in the calculator.
What's the main difference between Gemini 2.5 Pro and Mistral Medium 3.5?
On price, Gemini 2.5 Pro is $1.25/$10.00 per 1M (in/out) and Mistral Medium 3.5 is $1.50/$7.50. By technical class (size & context) it's Flagship (Gemini 2.5 Pro) versus Mid (Mistral Medium 3.5). Gemini 2.5 Pro has the larger context window at 1.0M tokens.
Which handles longer prompts, Gemini 2.5 Pro or Mistral Medium 3.5?
Gemini 2.5 Pro — its 1.0M-token context window (~1,573 pages of text) is the larger of the two, by roughly 4×.
More comparisons
- GPT-5.5 vs Gemini 2.5 Pro
- GPT-5.5 vs Mistral Medium 3.5
- GPT-5.4 vs Gemini 2.5 Pro
- GPT-5.4 vs Mistral Medium 3.5
- Gemini 2.5 Pro vs GPT-5.4 mini
- Mistral Medium 3.5 vs GPT-5.4 mini
Related
- Gemini 2.5 Pro and Mistral Medium 3.5 — full specs and price history.
- API cost calculator — compare on your own workload.
- All comparisons — the full head-to-head index.