Using Gemini 2.5 Pro Computer Use Preview on GCP Vertex AI
Implementation guide · Gemini 2.5 · Google DeepMind
Serverless
GCP Vertex AI exposes Gemini 2.5 Pro Computer Use Preview through model ID gemini-2.5-computer-use-preview-10-2025. 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-2.5-computer-use-preview-10-2025— see the documentation for request format. - 3
Code Examples
Install
pip install google-cloud-aiplatformAPI key
GOOGLE_CLOUD_PROJECTModel ID
gemini-2.5-computer-use-preview-10-2025For 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-2.5-computer-use-preview-10-2025")
response = model.generate_content("Hello")
print(response.text)Pricing on GCP Vertex AI
| Type | Price (per 1M) |
|---|---|
| Input tokens | $1.25 |
| Output tokens | $10.00 |
Capabilities
VisionMultimodalJSON / Tool useStructured Outputs
About Gemini 2.5 Pro Computer Use Preview
Specialized for browser control agents. $1.25/$10.00 (<=200K), $2.50/$15.00 (>200K). Available on AI Studio and Vertex AI; no free tier.
Model Specs
Released2025-10-01
Context1.05m
ArchitectureDecoder Only
Knowledge cutoff2025-01