Mistral: Mistral Medium 3.5 vs Google: Gemini 2.5 Pro
Head-to-head API pricing and cost comparison between Mistral’s Mistral: Mistral Medium 3.5 and Google’s Google: Gemini 2.5 Pro. Prices auto-refresh daily from OpenRouter.
Google: Gemini 2.5 Pro is 17% cheaper for input tokens; Mistral: Mistral Medium 3.5 wins on output tokens at $7.50/1M.
Side-by-side comparison
| Spec | Mistral: Mistral Medium 3.5 | Google: Gemini 2.5 Pro |
|---|---|---|
| Input price (per 1M) | $1.50 | $1.25 |
| Cached input (per 1M) | — | $0.13 |
| Output price (per 1M) | $7.50 | $10.00 |
| Batch input (per 1M) | — | — |
| Batch output (per 1M) | — | — |
| Reasoning price (per 1M) | — | $10.00 |
| Context window | 262K | 1049K |
| Vision support | Yes | Yes |
| Caching support | No | Yes |
| Batch API | No | No |
| Reasoning capability | No | Yes |
Monthly cost at volume
Estimated monthly API spend at common production traffic levels (input/output tokens per request shown).
| Volume | Mistral: Mistral Medium 3.5 | Google: Gemini 2.5 Pro | Savings |
|---|---|---|---|
1K req/day 500in / 200out tokens | $67.50 | $78.75 | $11.25 Mistral: Mistral Medium 3.5 wins |
10K req/day 1500in / 500out tokens | $1,800 | $2,063 | $262.50 Mistral: Mistral Medium 3.5 wins |
100K req/day 3000in / 800out tokens | $31,500 | $35,250 | $3,750 Mistral: Mistral Medium 3.5 wins |
1M req/day 8000in / 2000out tokens | $810,000 | $900,000 | $90,000 Mistral: Mistral Medium 3.5 wins |
Adjust input/output token counts, request volume, batch & cached pricing.
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Frequently asked questions
Which is cheaper, Mistral: Mistral Medium 3.5 or Google: Gemini 2.5 Pro?
For input tokens, Google: Gemini 2.5 Pro is roughly 17% cheaper at $1.25/1M vs $1.50/1M. For output tokens, Mistral: Mistral Medium 3.5 wins at $7.50/1M. Real-world cost depends on your input/output ratio — use the calculator to model your actual workload.
What’s the context window difference?
Mistral: Mistral Medium 3.5 has a context window of 262K tokens. Google: Gemini 2.5 Pro offers 1049K tokens. Larger context windows are valuable for long documents, RAG pipelines, and multi-turn conversations — but they come with higher input-token bills if you fill them every request.
Should I use Mistral: Mistral Medium 3.5 or Google: Gemini 2.5 Pro?
Choose Mistral: Mistral Medium 3.5 if you’re already on the Mistral stack, want broad ecosystem support, or prefer its lower output price. Choose Google: Gemini 2.5 Pro for Google’s ecosystem, native vision input, or its cheaper input tokens. Run a small benchmark on your own prompts before committing — price is only one axis.
How are these prices kept current?
Prices are pulled directly from OpenRouter’s public models API once every 24 hours via a Convex cron job, then normalized to per-1M-token figures. Last refresh: May 5, 2026.