Google: Gemini 2.5 Pro vs Mistral Large
Head-to-head API pricing and cost comparison between Google’s Google: Gemini 2.5 Pro and Mistral’s Mistral Large. Prices auto-refresh daily from OpenRouter.
Google: Gemini 2.5 Pro is 38% cheaper for input tokens; Mistral Large wins on output tokens at $6.00/1M.
Side-by-side comparison
| Spec | Google: Gemini 2.5 Pro | Mistral Large |
|---|---|---|
| Input price (per 1M) | $1.25 | $2.00 |
| Cached input (per 1M) | $0.13 | $0.20 |
| Output price (per 1M) | $10.00 | $6.00 |
| Batch input (per 1M) | — | — |
| Batch output (per 1M) | — | — |
| Reasoning price (per 1M) | $10.00 | — |
| Context window | 1049K | 128K |
| Vision support | Yes | No |
| Caching support | Yes | Yes |
| Batch API | No | No |
| Reasoning capability | Yes | No |
Monthly cost at volume
Estimated monthly API spend at common production traffic levels (input/output tokens per request shown).
| Volume | Google: Gemini 2.5 Pro | Mistral Large | Savings |
|---|---|---|---|
1K req/day 500in / 200out tokens | $78.75 | $66.00 | $12.75 Mistral Large wins |
10K req/day 1500in / 500out tokens | $2,063 | $1,800 | $262.50 Mistral Large wins |
100K req/day 3000in / 800out tokens | $35,250 | $32,400 | $2,850 Mistral Large wins |
1M req/day 8000in / 2000out tokens | $900,000 | $840,000 | $60,000 Mistral Large wins |
Adjust input/output token counts, request volume, batch & cached pricing.
Related comparisons
Frequently asked questions
Which is cheaper, Google: Gemini 2.5 Pro or Mistral Large?
For input tokens, Google: Gemini 2.5 Pro is roughly 38% cheaper at $1.25/1M vs $2.00/1M. For output tokens, Mistral Large wins at $6.00/1M. Real-world cost depends on your input/output ratio — use the calculator to model your actual workload.
What’s the context window difference?
Google: Gemini 2.5 Pro has a context window of 1049K tokens. Mistral Large offers 128K 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 Google: Gemini 2.5 Pro or Mistral Large?
Choose Google: Gemini 2.5 Pro if you’re already on the Google stack, want reasoning capabilities, or prefer its lower input price. Choose Mistral Large for Mistral’s ecosystem, or its cheaper output 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 28, 2026.