Google: Nano Banana 2 Lite (Gemini 3.1 Flash Lite Image)

1 provider live

google/gemini-3.1-flash-lite-image

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1 live provider

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 in roughly 4 seconds, about 2.7× faster than Gemini 3.1 Flash Image, while keeping the character consistency, precise editing, and real-world knowledge of the Nano Banana family. A single drop-in API handles text-to-image, image editing, and multi-image composition. As a multimodal model it also returns text alongside images. Outputs are generated at 1K resolution across 14 aspect ratios and carry an invisible SynthID watermark so they can be identified as AI-generated. Positioned as the best balance of quality and speed in the Nano Banana 2 line, it lets you generate thousands of images at a fraction of the cost of heavier production models, ideal for prototyping, real-time apps, and visual workflows at scale.

Output: $0.0336; per image

Providers

Ranked by price and speed. Requests go to the best healthy provider, then fail over down the list.

#	Provider	Output
1	DeepInfraNon-EU Data policy not declared	$0.0336/image

Price history

No price changes since Oct 25, 2026.

DeepInfra$0.0336/image

Questions

How much does Google: Nano Banana 2 Lite (Gemini 3.1 Flash Lite Image) cost?

Google: Nano Banana 2 Lite (Gemini 3.1 Flash Lite Image) costs $0.0336 per image at DeepInfra, the provider requests go to first.

Do providers train on my prompts?

Each provider declares it, and the table above shows every declaration. You can limit a request to providers that keep nothing, or to providers in the EU.

$0.014 per image. 1 provider.

Black Forest Labs: FLUX.2 Maxblack-forest-labs/flux.2-max

$0.07 per image. 1 provider.

Black Forest Labs: FLUX.2 Problack-forest-labs/flux.2-pro

$0.03 per image. 1 provider.

Call it

import os
from openai import OpenAI

client = OpenAI(
    base_url="https://api.llm.buzz/api/v1",
    api_key=os.environ["LLM_BUZZ_KEY"],
)
image = client.images.generate(
    model="google/gemini-3.1-flash-lite-image",
    prompt="A bee on a lavender flower",
)

import OpenAI from "openai";

const client = new OpenAI({
  baseURL: "https://api.llm.buzz/api/v1",
  apiKey: process.env.LLM_BUZZ_KEY,
});
const image = await client.images.generate({
  model: "google/gemini-3.1-flash-lite-image",
  prompt: "A bee on a lavender flower",
});

curl https://api.llm.buzz/api/v1/images/generations \
  -H "Authorization: Bearer $LLM_BUZZ_KEY" \
  -H "Content-Type: application/json" \
  -d '{"model": "google/gemini-3.1-flash-lite-image", "prompt": "A bee on a lavender flower"}'

Endpoints

POST /api/v1/images/generationsPOST /api/v1/images

Authentication

Send your llm.buzz key as a Bearer token: Authorization: Bearer $LLM_BUZZ_KEY. Create keys in the console. The same key calls every model; each request pays the price of the provider that answered it.

More in Authentication and the API reference.

Call Google: Nano Banana 2 Lite (Gemini 3.1 Flash Lite Image) with one keyEach request pays the price of the provider that answered it.

Get API key