Using Gemini 2.0 Flash on GCP Vertex AI
Implementation guide · Gemini 2.0 · Google DeepMind
GCP Vertex AI exposes Gemini 2.0 Flash through model ID gemini-2.0-flash. 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
- 2Use the GCP Vertex AI SDK or REST API to call
gemini-2.0-flash— see the documentation for request format. - 3
Code Examples
pip install google-cloud-aiplatformGOOGLE_CLOUD_PROJECTgemini-2.0-flashFor 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")
response = model.generate_content("Hello")
print(response.text)Pricing on GCP Vertex AI
| Type | Price (per 1M) |
|---|---|
| Input tokens | $0.15 |
| Output tokens | $0.60 |
Capabilities
About Gemini 2.0 Flash
Google Gemini 2.0 Flash is deprecated and scheduled to shut down on June 1, 2026. Use a newer Gemini model such as Gemini 3.5 Flash for current integrations; official Gemini API pricing still lists $0.10 input / $0.40 output per 1M text, image, or video tokens before batch discounts.