Using Gemini 2.0 Flash-Lite on Vercel AI Gateway

Implementation guide · Gemini 2.0 · Google DeepMind

Serverless

Vercel AI Gateway exposes Gemini 2.0 Flash-Lite through model ID google/gemini-2.0-flash-lite. Use the setup steps, sourced pricing, capabilities, and official provider links below to validate this route before deployment.

Last refreshed 2026-06-29. 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-2.0-flash-lite — see the documentation for request format.
3
You'll be billed $0.07/1M input, $0.30/1M 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-2.0-flash-lite

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-2.0-flash-lite",
    messages=[{"role": "user", "content": "Hello"}]
)
print(response.choices[0].message.content)

Pricing on Vercel AI Gateway

Type	Price (per 1M)
Input tokens	$0.07
Output tokens	$0.30
Query	$35.00

Capabilities

VisionMultimodalJSON / Tool useStructured Outputs

About Gemini 2.0 Flash-Lite

Google Gemini 2.0 Flash-Lite is deprecated and scheduled to shut down on June 1, 2026. Use a newer low-cost Gemini model such as Gemini 3.1 Flash-Lite for current integrations. Official Gemini API pricing lists $0.075 input / $0.30 output per 1M tokens before batch discounts.

Full model details →

Model Specs

Released2025-02-12

Context1.05m

ArchitectureDecoder Only

Vercel