Gemini 3.1 Flash-Lite Image
−30% vs Google
Vertex AIGemini 3.1 Flash-Lite Image, which Google calls Nano Banana 2 Lite, is the efficiency specialist of the image generation family, targeting sub-2 second end-to-end latency. It is built for high-volume interactive developer use cases and real-time consumer applications, and for fast multi-turn local edits such as color swaps and background changes.
The real Google model
Same weights, same API, same answers. We change only how you pay for it: one key for every maker, one bill, no separate account to open. Every figure on this page comes from Google’s own page — check it.
Maker's own pagePrice
input / output · per 1M tokensVertex AI
−30%Only on FlintBeam−30% on every request
Direct on Vertex AI: $0.25 / $30.00
Daily discount until 2026-11-30; it can change or end earlier.
One image: $0.02 to $0.06
Context
65,536
up to 4,096 out
4,096 by default here
Modalities
Released
Jun 30, 2026
Knows up to Jan 2025
The prices above are per 1M tokens, the unit every model is billed in. A picture is billed as the tokens it weighs, so a larger one costs more.
What it would cost you
1000 tokens is roughly 750 English words.
How it is served
Requests are retried automatically if a provider is unavailable.
Similar models
Models built for the same kind of work, at a similar price.
Eligible models may have a daily discount below the maker's price. Daily discounts apply to eligible models and can change from day to day.
Use it from your code
from openai import OpenAI
# Works with the official openai package (pip install openai)
client = OpenAI(
base_url="https://api.flintbeam.com/v1",
api_key="sk-live-your-api-key"
)
response = client.chat.completions.create(
model="google/gemini-3.1-flash-lite-image",
messages=[
{"role": "system", "content": "You are an experienced software engineer."},
{"role": "user", "content": "Describe the architecture of a distributed cache."}
],
temperature=0.7,
max_tokens=1500
)
print(response.choices[0].message.content)