Using Gemini 2.0 Flash Image Generation on GCP Vertex AI

Implementation guide · Gemini 2.0 · Google DeepMind

Serverless

GCP Vertex AI exposes Gemini 2.0 Flash Image Generation through model ID gemini-2.0-flash-image-generation. Use the setup steps, sourced pricing, capabilities, and official provider links below to validate this route before deployment.

Last refreshed 2026-06-15. Next refresh: weekly.

Quick Start

  1. 1
    Create an account at GCP Vertex AI and generate an API key.
  2. 2
    Use the GCP Vertex AI SDK or REST API to call gemini-2.0-flash-image-generation — see the documentation for request format.
  3. 3
    You'll be billed $0.15/1M input, $30.00/1M output tokens. See full pricing.

Code Examples

Install
pip install google-cloud-aiplatform
API key
GOOGLE_CLOUD_PROJECT
Model ID
gemini-2.0-flash-image-generation

For Google-published models use the model name directly, e.g. "gemini-2.0-flash-001". For third-party publishers (Anthropic, Meta, etc.) use the full publisher path, e.g. "publishers/anthropic/models/claude-3-5-sonnet-v2@20241022".

import os
import vertexai
from vertexai.generative_models import GenerativeModel

# Reads GOOGLE_CLOUD_PROJECT from env; authenticates via Application Default Credentials
vertexai.init(project=os.environ["GOOGLE_CLOUD_PROJECT"], location="us-central1")
model = GenerativeModel("gemini-2.0-flash-image-generation")
response = model.generate_content("Hello")
print(response.text)

Pricing on GCP Vertex AI

TypePrice (per 1M)
Input tokens$0.15
Output tokens$30.00

Capabilities

VisionMultimodalJSON / Tool use

About Gemini 2.0 Flash Image Generation

Vertex only. Text input: $0.15/1M. Text output: $0.60/1M. Image output: $30/1M. Shut down on AI Studio.

Model Specs

Released2025-02-12
Context1.05m
ArchitectureDecoder Only

Provider

GCP Vertex AI

Google Cloud Platform (GCP)

Mountain View, California, United States