Nano Banana 2.1: API price, context window and how to connect
Nano Banana 2.1 by Google: $1.5 per million input tokens, $7.5 per million output tokens, a 66K-token window. What it is good for, what to compare it with and how to connect it in SKILLOK.
In this article
In short#
Google's Flash-tier model for creating and editing images, successor to Nano Banana 2 and Nano Banana Pro. It can answer with a picture, not only text.
Specifications#
| Provider | |
| Released | 2026-10-06 |
| Context window | 66K tokens |
| Accepts | images, text |
| Answers with | images, text |
| Reasoning mode | yes |
| Tool calling | yes |
| Open weights | no |
| Identifier | google/gemini-nano-banana-2.1 |
Price#
| Per 1M tokens | In dollars |
|---|---|
| Input (question, context) | $1.5 |
| Output (answer) | $7.5 |
For reference: a conversation of 20 questions of ~500 tokens and answers of ~800 tokens costs about $0.135. Models in reasoning mode spend more tokens on an answer than the text shows: the reasoning is paid for too.
What it is good for#
- Generating images from a description
- Editing existing pictures
- A product in a new setting
Similar models#
Catalog models with the same kind of output, closest in the price of a typical request.
| Model | Input | Output | Window | Price |
|---|
Other Google models#
How to connect in SKILLOK#
Nano Banana 2.1 works through OpenRouter: add an OpenRouter key in Settings → AI and pick the google/gemini-nano-banana-2.1 model. It then becomes available in Space AI, in tasks and to the repository agent. In detail — Connecting a model in SKILLOK.
Where the data comes from#
Prices, the context window and capabilities come from the public OpenRouter catalog as of 2026-10-19. A provider may change the price — the exact figure is always on the model's OpenRouter page.
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