Nano Banana 2.1: price, context window and capabilities
Nano Banana 2.1 is a model from Google (google/gemini-nano-banana-2.1). It supports reasoning. It supports tool use. It costs $1.50 per million input tokens and $7.50 per million output tokens, with a 66K-token context window.
What it costs in practice
Using the listed prices: a chat turn of 2,000 input and 500 output tokens costs about $0.0067, so 10,000 such turns cost about $67.50. Summarising a 100,000-token document into 2,000 tokens costs about $0.165. A long agent run that reads 1 million tokens and writes 50,000 costs about $1.88.
How it compares
Among the 40 models we track, Nano Banana 2.1 ranks #28 by input price and #31 by output price (1 is cheapest), and #39 by context window (1 is largest). Models with the same tool and reasoning support that cost less per output token: DeepSeek V4 Pro 0423 ($0.418), Qwen3.8 Omni Flash ($0.470), Qwen3.8 Flash ($0.470), Claude Haiku 5.5 ($0.500). Models with a larger context window at the same or lower output price: Llama 4 Scout (1.3M), GPT-6 Luna Pro (1.1M), GPT-6 Luna (1.1M), Gemini 3.8 Flash (1.0M).
More from Google
- Gemini 3.8 Flash: $0.750 in / $3.75 out, 1.0M context
- Gemini 3.7 Flash: $0.750 in / $3.75 out, 1.0M context
- Gemini 3.6 Flash: $0.750 in / $3.75 out, 1.0M context
Prices and limits come from OpenRouter's public model catalogue, last synced 11 Oct 2026. Provider pricing can differ from OpenRouter's and changes often; confirm on the provider's own page before you commit. See the guide to choosing a model or the full comparison.
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