Using Gemma 4 31B on Vercel AI Gateway

Implementation guide · Gemma 4 · Google DeepMind

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Vercel AI Gateway exposes Gemma 4 31B through model ID google/gemma-4-31b-it. 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/gemma-4-31b-it — see the documentation for request format.
3
You'll be billed $0.14/1M input, $0.40/1M 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/gemma-4-31b-it

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/gemma-4-31b-it",
    messages=[{"role": "user", "content": "Hello"}]
)
print(response.choices[0].message.content)

Pricing on Vercel AI Gateway

Type	Price (per 1M)
Input tokens	$0.14
Output tokens	$0.40

Capabilities

VisionMultimodalJSON / Tool use

About Gemma 4 31B

Dense 31B model bridging the gap between server-grade performance and local execution. Ranks #3 on Arena AI leaderboard. Supports text, image, and video inputs with advanced reasoning.

Full model details →

Model Specs

Released2026-03-31

Parameters31B

Context256k

Knowledge cutoff2025-01

Vercel