Using Gemini 3.5 Flash on Vercel AI Gateway

Implementation guide · Gemini 3.5 · Google DeepMind

Serverless

Vercel AI Gateway exposes Gemini 3.5 Flash through model ID google/gemini-3.5-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. 1
    Create an account at Vercel AI Gateway and generate an API key.
  2. 2
    Use the Vercel AI Gateway SDK or REST API to call google/gemini-3.5-flash — see the documentation for request format.
  3. 3
    You'll be billed $1.50/1M input, $9.00/1M output tokens. See full pricing.
API PortalDocumentationPricingModel Card

Code Examples

Install
pip install openai
API key
AI_GATEWAY_API_KEY
Model ID
google/gemini-3.5-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-3.5-flash",
    messages=[{"role": "user", "content": "Hello"}]
)
print(response.choices[0].message.content)

Pricing on Vercel AI Gateway

TypePrice (per 1M)
Input tokens$1.50
Output tokens$9.00
Query$14.00

Capabilities

VisionMultimodalReasoningJSON / Tool useStructured OutputsCode ExecutionPrompt CachingBatch APIAudio

About Gemini 3.5 Flash

Gemini 3.5 Flash is Google DeepMind's generally available Flash model for sustained frontier-level performance on agentic and coding tasks. It supports multimodal inputs, native thinking, tool and function calling, structured outputs, code execution, search grounding, batch processing, and long contexts up to 1M tokens.

Full model details →

Model Specs

Released2026-05-19
Context1.05m
ArchitectureDecoder Only
Knowledge cutoff2025-01

Also available on(3)

Google AI Studio$1.50/1MGCP Vertex AI$1.50/1MOpenRouter$1.50/1M
Compare all providers →

Provider

Vercel AI Gateway

Vercel