Nano Banana 2.1
Pricing updated daily · Last refreshed Oct 29, 2026Google model with a 66K-token context window, priced at $1.50 per million input tokens and $7.50 per million output tokens.
At a glance
- Provider
- Context window
- 65,536 tokens
- Max output
- 58,982 tokens
- Input price
- $1.50 / 1M tokens
- Output price
- $7.50 / 1M tokens
- Input types
- image, text
- Function calling
- Yes
- Released
- October 6, 2026
What it costs
Illustrative request sizes, not measurements of any real product. For your own volumes, use the cost estimator.
| Workload | Tokens in / out | Per request | Per 1,000 requests |
|---|---|---|---|
| Short chat reply | 1,000 / 500 | $0.0052 | $5.25 |
| Question over retrieved documents | 8,000 / 500 | $0.0158 | $15.75 |
| Summarise a long document | 50,000 / 1,500 | $0.0863 | $86.25 |
How it compares
- Input price ($1.50 per 1M tokens) is the 20th lowest of 30 models in the catalogue.
- Output price ($7.50 per 1M tokens) is the 20th lowest of 30.
- Context window (66K tokens) is the 29th largest of 30.
- Maximum output (59K tokens) is the 21st largest of 30.
- On blended price it is 82% more expensive than the median Google model in the catalogue.
These are rankings by listed price and size within this catalogue (blended price weights input 3:1 against output), not a measure of output quality.
Cheaper models with the same capabilities
Lower blended price, at least the same context window, and the same input types and function calling.
| Model | Provider | Context | Input $/1M | Output $/1M |
|---|---|---|---|---|
| Llama 4 Scout | Meta | 1.31M | $0.10 | $0.30 |
| Claude Haiku 5.5 | Anthropic | 1M | $0.10 | $0.50 |
| GPT-6 Luna Pro | OpenAI | 1.05M | $0.10 | $0.50 |
More from Google
| Model | Provider | Context | Input $/1M | Output $/1M |
|---|---|---|---|---|
| Gemini 4 Argon | 1.05M | $2.00 | $10.00 | |
| Gemini 3.8 Flash | 1.05M | $0.825 | $4.125 | |
| Gemini 3.7 Flash | 1.05M | $0.75 | $3.75 | |
| Gemini 3.6 Flash | 1.05M | $0.75 | $3.75 |
Try it with your own text
- Token counter: see how many tokens a prompt uses (exact for OpenAI models, labelled estimates for others).
- Context window visualizer: see how much of this model’s 66K window a prompt fills.
- Model comparison: sort and filter every model, and export to CSV.
Source: OpenRouter’s public model catalogue (google/gemini-nano-banana-2.1), read once a day. These are the prices OpenRouter charges; a provider’s own list price can differ, so check the provider before committing to a budget.