Google: Nano Banana Pro (Gemini 3 Pro Image Preview) vs Mistral Large 2407
Head-to-head API pricing and cost comparison between Google’s Google: Nano Banana Pro (Gemini 3 Pro Image Preview) and Mistral’s Mistral Large 2407. Prices auto-refresh daily from OpenRouter.
Google: Nano Banana Pro (Gemini 3 Pro Image Preview) is 0% cheaper for input tokens; Mistral Large 2407 wins on output tokens at $6.00/1M.
Side-by-side comparison
| Spec | Google: Nano Banana Pro (Gemini 3 Pro Image Preview) | Mistral Large 2407 |
|---|---|---|
| Input price (per 1M) | $2.00 | $2.00 |
| Cached input (per 1M) | $0.20 | $0.20 |
| Output price (per 1M) | $12.00 | $6.00 |
| Batch input (per 1M) | — | — |
| Batch output (per 1M) | — | — |
| Reasoning price (per 1M) | $12.00 | — |
| Context window | 66K | 131K |
| 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: Nano Banana Pro (Gemini 3 Pro Image Preview) | Mistral Large 2407 | Savings |
|---|---|---|---|
1K req/day 500in / 200out tokens | $102.00 | $66.00 | $36.00 Mistral Large 2407 wins |
10K req/day 1500in / 500out tokens | $2,700 | $1,800 | $900.00 Mistral Large 2407 wins |
100K req/day 3000in / 800out tokens | $46,800 | $32,400 | $14,400 Mistral Large 2407 wins |
1M req/day 8000in / 2000out tokens | $1,200,000 | $840,000 | $360,000 Mistral Large 2407 wins |
Adjust input/output token counts, request volume, batch & cached pricing.
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Frequently asked questions
Which is cheaper, Google: Nano Banana Pro (Gemini 3 Pro Image Preview) or Mistral Large 2407?
For input tokens, Google: Nano Banana Pro (Gemini 3 Pro Image Preview) is roughly 0% cheaper at $2.00/1M vs $2.00/1M. For output tokens, Mistral Large 2407 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: Nano Banana Pro (Gemini 3 Pro Image Preview) has a context window of 66K tokens. Mistral Large 2407 offers 131K 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: Nano Banana Pro (Gemini 3 Pro Image Preview) or Mistral Large 2407?
Choose Google: Nano Banana Pro (Gemini 3 Pro Image Preview) if you’re already on the Google stack, want reasoning capabilities, or prefer its feature set. Choose Mistral Large 2407 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.