Using Claude 4 Opus on GCP Vertex AI

Implementation guide · Claude 4 · Anthropic

Serverless

GCP Vertex AI exposes Claude 4 Opus through model ID claude-opus-4@20250514. Use the setup steps, capabilities, and official provider links below to validate this route before deployment.

Last refreshed 2026-10-18. 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 claude-opus-4@20250514 — see the documentation for request format.
API PortalDocumentationPricing

Code Examples

Install
pip install google-cloud-aiplatform
API key
GOOGLE_CLOUD_PROJECT
Model ID
claude-opus-4@20250514

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("claude-opus-4@20250514")
response = model.generate_content("Hello")
print(response.text)

Capabilities

VisionMultimodalJSON / Tool useStructured OutputsFine-tuning

About Claude 4 Opus

Anthropic Claude 4 Opus API snapshot (claude-opus-4-20250514), deprecated April 14, 2026 with Claude API retirement scheduled for June 15, 2026. Use Claude Opus 4.8 for current integrations.

Full model details →

Model Specs

Released2025-05-22
Context200K
Knowledge cutoff2025-04

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Provider

GCP Vertex AI

Google Cloud Platform (GCP)

Mountain View, California, United States