Nano Banana 2 Lite (Gemini 3.1 Flash Lite Image) is Google's fastest, most cost-efficient Gemini image model, built for high-velocity developer pipelines and rapid-fire visual exploration. It delivers text-to-image generation...
Context
66Ktokens
About 94 pages of text at once
Max output
59Ktokens
About 84 pages in one answer
Intelligence
—
No score published for this model.
Output speed
—
Not measured yet
First token
6.7s
Reasoning models start later
From public market statistics for this model
Health, 30 days
50.00%
0 of 30 days without a fault
IranRouter’s measurements
Price & cost
Every rate in Rial. A request pays only for the tokens it actually uses.
| Input | 685,248 | IRR / 1M tokens |
|---|---|---|
| Output | 4,111,490 | IRR / 1M tokens |
| Reasoning tokensThe output rate | 4,111,490 | IRR / 1M tokens |
| Image input tokensThe input rate | 685,248 | IRR / 1M tokens |
| Image output tokens | 82,229,790 | IRR / 1M tokens |
| Per web search | 38,374 | IRR |
What would this model cost you a month?
Monthly cost
135.68MIRR
4.52M IRR a day, 2,261 IRR each request
30 days at today’s rate.
Rial price over 90 days
It moves with the exchange rate; the steps are the maker’s own price changes. Built at today’s margin, so approximate if the margin changed in the window.
Performance, 30 days
Health is measured by IranRouter itself: a day counts as healthy unless requests to this model failed on our side or it could not be served. First token and speed come from IranRouter’s traffic, and from public market statistics for this model on days without enough of it.
Daily health50.00%
Time to first token6.54 s
Output speed0 tokens/s
Place in the market
By usage across the global model market.
This model isn’t ranked yet.
Capabilities
- Input
- ImageText
- Output
- ImageText
Parameters it accepts
include_reasoningmax_tokensreasoningreasoning_effortresponse_formatseedtemperaturetop_pOther benchmarks
Standard tests
- GPQA DiamondScore: 10%Tasks: 396
Start in a minute
The official OpenAI and Anthropic SDKs; only the address and the key change.
https://iranrouter.com/v1google/gemini-3.1-flash-lite-image# pip install openai from openai import OpenAI client = OpenAI( base_url="https://iranrouter.com/v1", api_key="ir-...", ) r = client.chat.completions.create( model="google/gemini-3.1-flash-lite-image", messages=[{"role": "user", "content": "Hello, introduce yourself"}], ) print(r.choices[0].message.content)
Peer models
Its family and models with a close score; the last column compares one message’s cost with this model.
Technical specs
- ID
google/gemini-3.1-flash-lite-image- Maker
- Tokenizer
- Gemini
- Knowledge up to
- January 2025
- Released
- Jun 30, 2026
- Added to IranRouter
- Aug 19, 2026
- Context
- 65,536 tokens
- Max output
- 58,982 tokens
as of Oct 31, 2026
