Gemini 3.1 Flash Lite Image: where to access it & real cost
live on the first-party API by Googlereleased 2026-06-30also called Nano Banana 2 Litet2i · i2i
One resolution and one price: 1K, for work that never needs more.
Quick answer prices verified
Best for our call
One resolution and one price: 1K, for work that never needs more.
Cheapest
$0.0336at Gemini API · one 1K image / t2i · derived
First-party
$0.0336at Gemini API · one 1K image / t2i · derived
Routes selling
1 of 1 tracked
Verified
2026-08-15
Gemini 3.1 Flash Lite Image, from Google, is purchasable on the one route we track. One 1K t2i image costs $0.0336 at Gemini API, the cheapest published rate we can cite. This model is billed at one 1K image / t2i, which nothing else on the index sells, so its price is not ranked against the other models.
Every price on this page buys one 1K t2i image. Figures come from each seller's own published rates and carry the date we last read them.
Which route should you take
Each row is the table above read for one question, at the unit named beside the price. Rows marked our call are editorial judgement instead, and appear only where we have something specific to say.
Every price here buys the same thing: one 1K t2i image. That is a baseline for comparing providers, not a quote. What you are actually billed depends on the settings you send, and on some routes on how much you top up at once. Every figure is the provider's own published price; anything we derived rather than read off a price list is marked est.
How each figure above was read off the provider's own price list, and what that price list does not say.
Gemini API
Google prices image output per token and publishes how many tokens each resolution consumes. It also prints a rounded per-image figure beside each one; the figures here follow the token arithmetic, which is exact.
What it can do
Output resolutions
1K
Reference images
not verified
Edits an existing image
yes
Renders legible text
not verified
Where a row says not verified, we have not checked that figure yet; it does not mean the model lacks the feature. Every row is read off published documentation for the model, never from our own testing.