Using Claude 3 Opus on GCP Vertex AI

Implementation guide · Claude 3 · Anthropic

Serverless

GCP Vertex AI exposes Claude 3 Opus through model ID claude-3-opus. Use the setup steps, sourced pricing, capabilities, and official provider links below to validate this route before deployment.

Last refreshed 2026-07-26. 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-3-opus — see the documentation for request format.
  3. 3
    You'll be billed $15.00/1M input, $75.00/1M output tokens. See full pricing.

Code Examples

Install
pip install google-cloud-aiplatform
API key
GOOGLE_CLOUD_PROJECT
Model ID
claude-3-opus

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-3-opus")
response = model.generate_content("Hello")
print(response.text)

Pricing on GCP Vertex AI

TypePrice (per 1M)
Input tokens$15.00
Output tokens$75.00

Capabilities

VisionMultimodalReasoningStructured OutputsCode Execution

About Claude 3 Opus

Claude 3 Opus, part of the Claude 3 family by Anthropic, is a cutting-edge large language model (LLM) optimized for high-complexity tasks and exceptional performance. Deprecated January 5, 2026. Migrate to Claude 3.5, 3.7, or 4.x series.

Model Specs

Released2024-03-04
Parameters2T
Context200k
ArchitectureDecoder Only
Knowledge cutoff2023-08

Provider

GCP Vertex AI

Google Cloud Platform (GCP)

Mountain View, California, United States