Google: Nano Banana Pro (Gemini 3 Pro Image) vs Mistral Large 2407
Head-to-head API pricing and cost comparison between Google’s Google: Nano Banana Pro (Gemini 3 Pro Image) and Mistral’s Mistral Large 2407. Prices auto-refresh daily from OpenRouter.
Google: Nano Banana Pro (Gemini 3 Pro Image) 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) | 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) | 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) or Mistral Large 2407?
For input tokens, Google: Nano Banana Pro (Gemini 3 Pro Image) 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) 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) or Mistral Large 2407?
Choose Google: Nano Banana Pro (Gemini 3 Pro Image) 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: Jun 19, 2026.