Google: Nano Banana Pro (Gemini 3 Pro Image Preview) API Pricing
Google: Nano Banana Pro (Gemini 3 Pro Image Preview) costs $2.00 per 1M input tokens and $12.00 per 1M output tokens (cache reads: $0.200). Context window: 66K. Prices verified 2026-10-21 · source
Alternatives to consider
Cheapest google model — 99% less per month
Rebuilt daily from our snapshot archive — the chart appears once a model has 5+ snapshots of history.
From our own daily snapshot archive — independent of provider announcements.
Token economics
| Token type | Price | vs base input |
|---|---|---|
| Standard input | $2.00 | — |
| Cache read | $0.200 | −90% |
| Cache write (5m) | $0.375 | -81% |
| Output | $12.00 | — |
| Web search tool | $14/1k searches | — |
Prompt caching stores repeated context server-side: reads cost far less, but writes carry a one-time premium.
Higher effort = deeper thinking = more reasoning tokens billed as output.
What would Google: Nano Banana Pro (Gemini 3 Pro Image Preview) cost you per month?
| Workload | Requests/mo | Avg tokens (in/out) | Est. monthly cost |
|---|---|---|---|
| Light chatbot | 10,000 | 800 / 400 | $64.00 |
| Coding agent | 5,000 | 8,000 / 2,000 | $200.00 |
| RAG pipeline | 30,000 | 4,000 / 500 | $420.00 |
| Doc summarizer | 2,000 | 20,000 / 1,000 | $104.00 |
Estimates use list prices without prompt caching. Caching can cut input cost by up to 90% on repeated context.
About Google: Nano Banana Pro (Gemini 3 Pro Image Preview)
Nano Banana Pro is Google’s most advanced image-generation and editing model, built on Gemini 3 Pro. It extends the original Nano Banana with significantly improved multimodal reasoning, real-world grounding, and...
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Frequently asked questions
How much does Google: Nano Banana Pro (Gemini 3 Pro Image Preview) cost?
Google: Nano Banana Pro (Gemini 3 Pro Image Preview) costs $2.00 per 1M input tokens and $12.00 per 1M output tokens; cached input tokens cost $0.200 per 1M. Verified 2026-10-21 — provider source.
What is the context window?
66K tokens, with up to 33K output tokens per response. That's roughly 82 pages of text in a single request.
Does it support prompt caching?
Yes — cached input is $0.200/1M, about 90% cheaper than standard input. Agents and RAG workloads with repeated context benefit most.
What's a cheaper alternative?
ScaleDown: Summarize saves about 99% on a typical workload with comparable quality.
Official resources
- Google: Nano Banana Pro (Gemini 3 Pro Image Preview) on OpenRouter — live endpoint, pricing source of record.
- Artificial Analysis leaderboard → — independent intelligence and performance rankings.
- Gemini docs → — first-party model specifications and limits.
- LMArena leaderboard → — independent human-preference rankings.
- Shred your current bill — paste a CSV and see if switching saves money.