Nano Banana 2 Lite (Gemini 3.1 Flash Lite Image)
Google · released Jun 30, 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 Sep 2, 2026Nano Banana 2 Lite is Google's proprietary lightweight model for text-and-image tasks, with a 65,536-token request limit and consistent pricing across its three hosted offers. It is a fast, low-cost pick for image generation and editing where measured quality data is not yet available.
Pick this for low-cost image generation and editing, or fast prototyping via Google AI Studio at its highest measured speed. Use it for Vertex AI integration in enterprise workflows where the slower measured endpoint still suits your pipeline. Skip it if you need verified quality scores, or if throughput variation across endpoints risks your latency budget.
The case for it
- Same pricing on all three tracked providers, so provider choice is driven by speed and workflow rather than cost.
- Fastest on Google AI Studio at 465 tokens per second, well above its Vertex speed.
The case against it
- No benchmark scores in our data — chat, reasoning, coding and image quality are all unverified.
- A 203-token-per-second gap between the fastest and slowest measured endpoints, with the third undisclosed.
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
- $0.25 in / $1.50 out
- Context served
- 66K
- Throughput
- ~0 tok/s
| Provider | In / out per 1M tokens | Context | Throughput | Trains on prompts | Logs prompts | Zero retention |
|---|---|---|---|---|---|---|
| OpenRouterOpenRouter's own listing | $0.25 / $1.50checked 4 hours ago | 66K | not measured | Unknown | Unknown | Unknown |
| Google Vertex AIglobalThrough OpenRouter | $0.25 / $1.50checked 4 hours ago | 66K59K max reply | 0 tok/s | No | No | Confirmed |
OpenRouterAcross 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: 0 of 2 listings say yes, 2 say no. JSON output: 2 of 2 listings say yes. Strict schema: 0 of 2 listings say yes, 2 say no.
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 cached-input rate for any of its listings.
- 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-2-lite-gemini-3-1-flash-lite-image