Using Gemini 2.0 Flash on Vercel AI Gateway

Implementation guide · Gemini 2.0 · Google DeepMind

Serverless

Vercel AI Gateway exposes Gemini 2.0 Flash through model ID google/gemini-2.0-flash. 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 — see the documentation for request format.
3
You'll be billed $0.15/1M input, $0.60/1M 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

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

Pricing on Vercel AI Gateway

Type	Price (per 1M)
Input tokens	$0.15
Output tokens	$0.60
Query	$35.00

Capabilities

VisionMultimodalReasoningJSON / Tool useStructured OutputsCode Execution

About Gemini 2.0 Flash

Google Gemini 2.0 Flash is deprecated and scheduled to shut down on June 1, 2026. Use a newer Gemini model such as Gemini 3.5 Flash for current integrations; official Gemini API pricing still lists $0.10 input / $0.40 output per 1M text, image, or video tokens before batch discounts.

Full model details →

Model Specs

Released2025-01-30

Context2m

Knowledge cutoff2025-04

Vercel