Nano Banana Pro (Gemini 3 Pro Image)
Google · released Jun 18, 2026
- Type
- Closed
- Input
- None held
- Output
- None held
- Cached
- None held
We don't hold a list price for this model yet · hosted only — we have no record of published weights
Our take
Written Aug 4, 2026Google's Gemini 3 Pro Image is an image-generation model that accepts text and images to produce both text and images. It can accept a large request for an image model and is available only through Google's own services and OpenRouter.
Use this for image generation and editing where prompt fidelity matters more than cost, or multimodal pipelines that mix image understanding and image output in one call. Skip it if you want a broad choice of hosts or predictable per-image pricing.
The case for it
- Native image output within the Gemini API surface.
- Large request limit for an image model: supports long, detailed prompts and reference-image context.
The case against it
- Google-only availability: Vertex, AI Studio and OpenRouter, which routes back to Google.
- Token-based pricing makes per-image cost hard to predict.
How good is it?
We hold no score for this model.
So there is no figure here for everyday use, coding, agent work or writing. That is a gap in our data, not a low score.
Where to rent it
Prices checked 4 hours ago — each listing carries its own date.
- per 1M tokens
- $2.00 in / $12.00 out
- Context served
- 131K
- Throughput
- Not measured
| Provider | In / out per 1M tokens | Context | Throughput | Trains on prompts | Logs prompts | Zero retention |
|---|---|---|---|---|---|---|
| OpenRouterOpenRouter's own listing | $2.00 / $12.00checked 4 hours ago | 131K | not measured | Unknown | Unknown | Unknown |
| Google Vertex AIglobalThrough OpenRouter | $2.00 / $12.00checked 4 hours ago | 66K33K max reply | 0 tok/s | No | No | Confirmed |
Google Vertex AIAcross the 2 listings we hold: 1 says it does not train on prompts, 0 say they do and 1 does not say. 1 appears in the zero-retention registry we check; the rest are unknown to us.
What each host's API supports
From the parameter list each endpoint publishes. Streaming is omitted: nothing we hold reports it, for any model.
| Provider | Tool calling | JSON output | Strict schema |
|---|---|---|---|
| OpenRouterOpenRouter's own listing | ✓ | ✓ | ✓ |
| Google Vertex AIglobalThrough OpenRouter | ✗ | ✓ | ✓ |
Tool calling: 1 of 2 listings says yes, 1 says no. JSON output: 2 of 2 listings say yes. Strict schema: 2 of 2 listings say yes.
When we formed this view
Recent changes
What moved
first indexed by our pipelineEach date is the day we first saw the change, or the day the maker announced it.
What we do not know about this model yet
- No independent board has scored it, so we hold no quality figures at all.
- Nothing we hold says whether an endpoint streams, so we do not show it either way.
- 1 of 2 listings does not say whether it trains on prompts.
- We don't hold a list price for this model yet — the gap is ours, not the lab's.
- We hold no batch or off-peak rate for any of its listings.
Licence and identifiers
What the licence allowsWe hold no licence record for this model. Inside are the identifiers you need to pull it — its Hugging Face repo where we have one, our slug and a machine-readable card.
Licence
We hold no licence record for this model, and no record of published weights either — so we can neither summarise its terms nor point you at the weights.
Identifiers
- Takes in, gives back
- Text and images in, text and images out
- Catalogue slug
- google-nano-banana-pro-gemini-3-pro-image