Using Nano Banana 2.1 (Gemini Nano Banana 2.1) on Vercel AI Gateway

Implementation guide · Gemini 3.1 · Google DeepMind

Serverless

Vercel AI Gateway exposes Nano Banana 2.1 (Gemini Nano Banana 2.1) through model ID google/gemini-nano-banana-2.1. Use the setup steps, sourced pricing, capabilities, and official provider links below to validate this route before deployment.

Last refreshed 2026-10-07. 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-nano-banana-2.1 — see the documentation for request format.
3
You'll be billed $1.50/1M input, $7.50/1M 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-nano-banana-2.1

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-nano-banana-2.1",
    messages=[{"role": "user", "content": "Hello"}]
)
print(response.choices[0].message.content)

Pricing on Vercel AI Gateway

Type	Price (per 1M)
Input tokens	$1.50
Output tokens	$7.50
Image input	$1.00

Capabilities

VisionMultimodalReasoningBatch API

About Nano Banana 2.1 (Gemini Nano Banana 2.1)

Nano Banana 2.1 (API id gemini-nano-banana-2.1, GA 6 October 2026) is Google's high-efficiency Gemini image generation and conversational editing model, succeeding Nano Banana 2 (gemini-3.1-flash-image). First-party Gemini API docs: text/image/video/PDF in, image+text out; 131,072 input / 32,768 output tokens; Thinking levels minimal/medium/high; Google Web and Image Search grounding; up to 14 reference images; 1K/2K/4K output (default 1K); Batch API supported; caching not supported. DeepMind model card (Published 6 October 2026) says it is based on Gemini 3.6 Flash.

Full model details →

Model Specs

Released2026-10-06

Context131k

ArchitectureDecoder Only

Knowledge cutoff2026-03

Vercel