Using Gemini 3.1 Flash-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 through model ID google/gemini-3.1-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-3.1-flash-lite — 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

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",
    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
Query	$14.00

Capabilities

VisionMultimodalJSON / Tool useStructured OutputsCode Execution

About Gemini 3.1 Flash-Lite

Gemini 3.1 Flash-Lite is Google's generally available low-latency Gemini 3.1 model, launched May 7, 2026. It is optimized for high-volume, cost-sensitive workloads with text, image, and video inputs, a 1M token context window, and a 66K token maximum output. The GA model uses the stable API ID gemini-3.1-flash-lite and replaces gemini-3.1-flash-lite-preview, which is scheduled to shut down on May 25, 2026. Pricing is $0.25 per 1M input tokens and $1.50 per 1M output tokens.

Full model details →

Model Specs

Released2026-05-07

Context1.05m

ArchitectureDecoder Only

Knowledge cutoff2025-01

Vercel