Using Gemini 3 Flash on Vercel AI Gateway

Implementation guide · Gemini 3 · Google DeepMind

Serverless

Vercel AI Gateway exposes Gemini 3 Flash through model ID google/gemini-3-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-3-flash — see the documentation for request format.
3
You'll be billed $0.50/1M input, $3.00/1M 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-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-3-flash",
    messages=[{"role": "user", "content": "Hello"}]
)
print(response.choices[0].message.content)

Pricing on Vercel AI Gateway

Type	Price (per 1M)
Input tokens	$0.50
Output tokens	$3.00
Query	$14.00

Capabilities

VisionMultimodalJSON / Tool useCode ExecutionAudio

About Gemini 3 Flash

Gemini 3 Flash is Google's speed-optimized Gemini 3 model, available in public preview via the Gemini API and Vertex AI. It supports text, image, audio, and video inputs with a 1M token context window and is priced at $0.50 per 1M input tokens and $3.00 per 1M output tokens.

Full model details →

Model Specs

Released2025-12-17

Context1m

ArchitectureDecoder Only

Knowledge cutoff2025-01

Vercel