Using Gemini 3.1 Flash Lite Image (Nano Banana 2 Lite) on Vercel AI Gateway

Implementation guide · Gemini 3.1 · Google DeepMind

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Vercel AI Gateway exposes Gemini 3.1 Flash Lite Image (Nano Banana 2 Lite) through model ID google/gemini-3.1-flash-lite-image. Use the setup steps, sourced pricing, capabilities, and official provider links below to validate this route before deployment.

Last refreshed 2026-10-19. Next refresh: weekly.

Quick Start

1
Create an account at Vercel AI Gateway and generate an API key.
2
Use the Vercel AI Gateway SDK or REST API to call google/gemini-3.1-flash-lite-image — see the documentation for request format.
3
You'll be billed $0.25/1M input, $1.50/1M output tokens. See full pricing.

API Portal Documentation Pricing Model Card

Code Examples

Install

pip install openai

API key

AI_GATEWAY_API_KEY

Model ID

google/gemini-3.1-flash-lite-image

creator/model-name e.g. kwaipilot/kat-coder-pro-v2

import os
from openai import OpenAI

client = OpenAI(
    api_key=os.environ["AI_GATEWAY_API_KEY"],
    base_url="https://ai-gateway.vercel.sh/v1"
)
response = client.chat.completions.create(
    model="google/gemini-3.1-flash-lite-image",
    messages=[{"role": "user", "content": "Hello"}]
)
print(response.choices[0].message.content)

Pricing on Vercel AI Gateway

Type	Price (per 1M)
Input tokens	$0.25
Output tokens	$1.50

Capabilities

VisionMultimodalReasoningBatch API

About Gemini 3.1 Flash Lite Image (Nano Banana 2 Lite)

Gemini 3.1 Flash Lite Image (Nano Banana 2 Lite; API id gemini-3.1-flash-lite-image) is Google's efficiency-focused image generation/editing model. Inputs text/image/video/PDF; outputs image+text. FP limits 65536/4096. Paid: $0.25/1M input, $1.50/1M text output, $30/1M image output (~$0.0336/1K image).

Full model details →

Model Specs

Context64K

Vercel