Nano Banana 2 Lite (Gemini 3.1 Flash Lite Image)
Google · released Jun 30, 2026
- Type
- Proprietary
- Input
- $0.25
- Output
- $1.50
- Cached
- Not published
List price · per 1M tokens · Google AI Studio at 66K context · source ↗
Our take
Written Aug 3, 2026Nano Banana 2 Lite is Google's fast, lightweight model for text-and-image tasks, with a 65,536-token request limit and identical pricing across every host we track. It is built for speed rather than measured quality, since no benchmark scores are in our data yet.
Pick this when you need rapid image generation or editing and throughput matters most — it reaches 465 tokens per second on Google AI Studio, the fastest of its own measured offers. Use it for low-cost multimodal inference where consistent pricing across providers simplifies budgeting. Skip it if you need verified quality scores, downloadable weights, or if your workload might move to OpenRouter where speed is undisclosed.
The case for it
- Fastest measured throughput on its own offers: Google AI Studio runs 1.81 times quicker than Google Vertex.
- Identical pricing across all three tracked providers, so switching host does not change cost.
The case against it
- No benchmark scores in our data, so quality is unverified.
- Throughput undisclosed on OpenRouter, one of three offers.
- Proprietary weights with no open licence; not available to download.
How good is it?
We hold no score for this model.
We look for every model we track on every board we watch, and none of them has turned up Nano Banana 2 Lite (Gemini 3.1 Flash Lite Image) — so there is no intelligence, coding, agentic or writing score to show you, not a low one, none.
Or rent it from someone else
Why this differs from the header. The strip above quotes Google AI Studio's own list price. This is the cheapest live offer at the widest standard context we hold, whoever is serving it — a reseller undercutting a lab is ordinary commerce, not an error.
- per 1M tokens
- $0.25 in / $1.50 out
- Context served
- 66K
- Throughput
- Not measured
| Provider | In / out per 1M tokens | Context | Throughput | Trains on prompts | Logs prompts | Zero retention |
|---|---|---|---|---|---|---|
| OpenRouter | $0.25 / $1.50 | 66K | not measured | Unknown | Unknown | Unknown |
| Google Vertex AIglobal | $0.25 / $1.50 | 66K | 207 tok/s | No | No | Confirmed |
| Google AI Studio | $0.25 / $1.50 | 66K | 465 tok/s | No | Yes55 days | Unknown |
Google Vertex AI
Google AI StudioAcross the 3 listings we hold: 2 say they do not train on prompts, 0 say they do and 1 do not say. 1 appear in the zero-retention registry we check; the rest are unknown to us rather than confirmed either way.
What each host's API supports
From the parameter list each endpoint publishes. Streaming is omitted: nothing we hold reports it, for any model.
- ✓
- Supported
- ✗
- Not supported
- Not published
- host gave no parameter list
| Provider | Tool calling | JSON output | Strict schema |
|---|---|---|---|
| OpenRouter | ✗ | ✓ | ✗ |
| Google Vertex AIglobal | ✗ | ✓ | ✗ |
| Google AI Studio | ✗ | ✓ | ✗ |
Tool calling: 0 of 3 listings say yes, 3 say no. JSON output: 3 of 3 listings say yes. Strict schema: 0 of 3 listings say yes, 3 say no.
When we formed this view
Dates behind this page
Prices last checked 9d ago
What we do not know about this model yet
- No board we watch has turned up a score, 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 3 listings do not say whether they train on prompts.
- We hold no cached-input 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
Commercial API terms. We hold no licence record for this model, so there is nothing to summarise here.
Identifiers
- Modality record
- text+image->text+image
- Catalogue slug
- google-nano-banana-2-lite-gemini-3-1-flash-lite-image