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Google: Nano Banana 2.1 API Pricing

Google: Nano Banana 2.1 costs $1.50 per 1M input tokens and $7.50 per 1M output tokens. Context window: 66K. 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 — 99% less per month

Price history
2026-10-07 → 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
$1.50
Output / 1M tokens
$7.50
Context window
66K
Max output
59K

Token economics

Token typePricevs base input
Standard input$1.50—
Output$7.50—
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 2.1 cost you per month?

WorkloadRequests/moAvg tokens (in/out)Est. monthly cost
Light chatbot10,000800 / 400$42.00
Coding agent5,0008,000 / 2,000$135.00
RAG pipeline30,0004,000 / 500$292.50
Doc summarizer2,00020,000 / 1,000$75.00

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

About Google: Nano Banana 2.1

Nano Banana 2.1 (Gemini Nano Banana 2.1) is Google's image generation and editing model on the Flash tier, succeeding Nano Banana 2 and Nano Banana Pro. It improves product recontextualization,...

Compare Google: Nano Banana 2.1 with

Popular head-to-heads — see all on the comparisons index.

Frequently asked questions

How much does Google: Nano Banana 2.1 cost?

Google: Nano Banana 2.1 costs $1.50 per 1M input tokens and $7.50 per 1M output tokens. Verified 2026-10-21 — provider source.

What is the context window?

66K tokens, with up to 59K output tokens per response. That's roughly 82 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 99% on a typical workload with comparable quality.

Official resources