Nano Banana 2.1 API pricing

Google · Image · Proprietary · released 2026-10. Prices in USD per 1 million tokens. Data snapshot: 2026-10-07.

Nano Banana 2.1 has held the same list price since 2026-10-07. Only one host, Google AI Studio, sells it, so there is no second price to shop. No Arena score is published for it, so it carries no Efficiency score and cannot hold the FinOps Friendly badge.

Market position

Image models bill per image as well as per token, so this page does not rank this one on token price.

Licence, size and capabilities

Nano Banana 2.1 is recorded here as proprietary: access is through an API, priced by the token. Its parameter count is not published. Listed capabilities: Text, Vision, Image Gen, Reasoning, Agents. Filling its 66K context window once costs $0.099 in input tokens at list price.

Pricing by host

A host is a company that runs the model and sells it by the token: the model maker, a cloud platform like Amazon Bedrock, Azure or Vertex, or an independent host. One model, several hosts, and often several prices. This model is sold by 1 host. The price we quote elsewhere on this page is marked. We quote one host's rate so that models stay comparable; it is not a recommendation to buy there.

Google AI Studio is the only host with a published rate, $1.50 input / $7.50 output per 1M tokens, which is the price we quote.

HostInput $/1MOutput $/1M
Google AI Studio (model maker, price we quote)$1.50$7.50

List prices as published on 2026-10-07, via OpenRouter. Negotiated rates, committed-use discounts and provisioned capacity are not shown.

Monthly cost at 100K requests, by business use case

From the after-discounts figure (prompt caching on the cached input share, batch API for async workloads, only where Google publishes those rates), which assumes you implement both, to the list price. One figure means no discount is published.

Use caseTokens (in/out)Monthly (after discounts – list)
Support Ticket1,500 / 500$600
Knowledge Q&A2,000 / 800$900
Meeting Summary10,000 / 1,200$2.4K
Marketing Content2,500 / 1,800$1.7K
Coding Task3,000 / 2,000$1.9K
Invoice Processing1,500 / 600$675
Call Summary2,000 / 700$825
Agent Workflow6,000 / 3,000$3.1K

Price history

Nano Banana 2.1 entered our daily price archive on 2026-10-07; tracking began on 2026-08-15. It listed at $1.50 input / $7.50 output per 1M tokens that day. No list price change since 2026-10-07. Last checked against the 2026-10-07 snapshot.

Other models from Google

The 8 nearest to Nano Banana 2.1 in price, of 23 other Google models in the catalogue. Prices per 1M tokens, input then output.

All 24 Google models and prices

Common questions about Nano Banana 2.1 pricing

How much does Nano Banana 2.1 cost?
Nano Banana 2.1 costs $1.50 per 1M input tokens and $7.50 per 1M output tokens. That is the model maker's own rate (Google AI Studio). Prices as listed on 2026-10-07.
Which host is cheapest for Nano Banana 2.1?
Google AI Studio is the only host with a published rate, $1.50 input / $7.50 output per 1M tokens, which is the price we quote. Host rates as listed on 2026-10-07.
Does Nano Banana 2.1 offer batch or cached pricing?
No. Neither a batch rate nor a prompt-cache rate is published for Nano Banana 2.1 as of 2026-10-07.
What would Nano Banana 2.1 cost per month?
With the Support Ticket profile (1,500 input and 500 output tokens per request), 100,000 requests a month cost about $600 on Nano Banana 2.1 at the list price quoted on 2026-10-07.
Can Nano Banana 2.1 be self-hosted?
No, as far as this site records. Nano Banana 2.1 is recorded here as proprietary: access is through an API, priced by the token.
Has the price of Nano Banana 2.1 changed?
Nano Banana 2.1 entered our daily price archive on 2026-10-07; tracking began on 2026-08-15. It listed at $1.50 input / $7.50 output per 1M tokens that day. No list price change since 2026-10-07. Last checked against the 2026-10-07 snapshot.

These are list prices. Your real cost also depends on caching and batching, negotiated discounts, marketplace agreements, and the contracts you already have. OptimNow audits exactly that.

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