Nano Banana 2: per-image pricing and capabilities
Prices from official vendor price lists · October 2026
Nano Banana 2 is billed per image rather than per million tokens, so the table’s token columns do not apply here. A free tier is available for testing.
Capabilities
Price / mo
API only
Nano Banana 2 is an AI model from Google DeepMind. The vendor does not publish a public per-token price, so the cost cells are left empty rather than guessed.
Capabilities recorded in this rating: vision, image generation, structured JSON output, batch API, priority / fast tier. Access is through the API rather than a consumer subscription.
API priceNot publishedper 1M tokens, in / out
ContextNot publishedtokens per conversation
VendorGoogle DeepMindall models from this vendor
TierUnpricedno public rate card
Compared with alternatives
How Nano Banana 2 sits against its neighbours in this rating. Tap a card to open that model.
Good and poor fit
Good fit
- Reading screenshots, charts, scanned documents and photos.
- High-volume routing, classification and autocomplete.
Poor fit
- Long multi-step reasoning, where a larger model finishes in fewer attempts.
- Integrations that depend on structured function calls.
Related filters
Vision159 models that read images
Image generation9 models that create and edit images
Batch API146 models with half-price async processing
Free tier86 models with a free API allowance
Low latency76 small, fast models for volume
Google DeepMind17 models from this vendor
All 245 modelsThe full rating with filters and prices
Frequently asked questions
How much does Nano Banana 2 cost?
Google DeepMind does not publish a public per-token rate for this model, so the price cells here are empty rather than estimated.
What is the context window of Nano Banana 2?
Not published by the vendor.
What can Nano Banana 2 do?
In this rating it is recorded with: vision, image generation, structured JSON output, batch API, priority / fast tier, free tier, low latency, multilingual, proprietary API.
Is Nano Banana 2 a good choice?
It depends on the job. See the good-fit and poor-fit lists above, and compare against the neighbouring models before committing.
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