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Google: Nano Banana 2 (Gemini 3.1 Flash Image) API Pricing

Google: Nano Banana 2 (Gemini 3.1 Flash Image) costs $0.500 per 1M input tokens and $3.00 per 1M output tokens. Context window: 131K. Prices verified 2026-10-21 · source

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Alternatives to consider

🏠 Same provider
Google: Gemma 3 4B
$0.040 in / $0.050 out
Quality score: 4.8

Cheapest google model — 96% less per month

Price history
2026-08-23 → 2026-10-21 · 59 daily snapshots
inputoutput

Rebuilt daily from our snapshot archive — the chart appears once a model has 5+ snapshots of history.

Pricing behavior
Stable — no price moves across our 59 daily snapshots (2026-08-23 → 2026-10-21).

From our own daily snapshot archive — independent of provider announcements.

Input / 1M tokens
$0.500
Output / 1M tokens
$3.00
Context window
131K
Max output
33K

Token economics

Token typePricevs base input
Standard input$0.500—
Output$3.00—
Web search tool$14/1k searches—

Prompt caching stores repeated context server-side: reads cost far less, but writes carry a one-time premium.

Reasoning behavior
Mode: On by default (toggleable)
Effort levels:highminimalnone

Higher effort = deeper thinking = more reasoning tokens billed as output.

What would Google: Nano Banana 2 (Gemini 3.1 Flash Image) cost you per month?

WorkloadRequests/moAvg tokens (in/out)Est. monthly cost
Light chatbot10,000800 / 400$16.00
Coding agent5,0008,000 / 2,000$50.00
RAG pipeline30,0004,000 / 500$105.00
Doc summarizer2,00020,000 / 1,000$26.00

Estimates use list prices without prompt caching. Caching can cut input cost by up to 90% on repeated context.

About Google: Nano Banana 2 (Gemini 3.1 Flash Image)

Gemini 3.1 Flash Image, a.k.a. "Nano Banana 2," is Google’s latest state of the art image generation and editing model, delivering Pro-level visual quality at Flash speed. It combines advanced...

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Frequently asked questions

How much does Google: Nano Banana 2 (Gemini 3.1 Flash Image) cost?

Google: Nano Banana 2 (Gemini 3.1 Flash Image) costs $0.500 per 1M input tokens and $3.00 per 1M output tokens. Verified 2026-10-21 — provider source.

What is the context window?

131K tokens, with up to 33K output tokens per response. That's roughly 164 pages of text in a single request.

Does it support prompt caching?

Prompt-caching pricing is not published for this model via OpenRouter.

What's a cheaper alternative?

ScaleDown: Summarize saves about 98% on a typical workload with comparable quality.

Official resources