The Vertex API for accessing Claude is nearly-identical to the Messages API and supports all of the same options, with two key differences:
model is not passed in the request body. Instead, it is specified in the Google Cloud endpoint URL.anthropic_version is passed in the request body (rather than as a header), and must be set to the value vertex-2023-10-16.Vertex is also supported by Anthropic's official client SDKs. This guide will walk you through the process of making a request to Claude on Vertex AI in either Python or TypeScript.
Note that this guide assumes you have already have a GCP project that is able to use Vertex AI. See using the Claude 3 models from Anthropic for more information on the setup required, as well as a full walkthrough.
First, install Anthropic's client SDK for your language of choice.
pip install -U google-cloud-aiplatform "anthropic[vertex]"Note that Anthropic model availability varies by region. Search for "Claude" in the Vertex AI Model Garden or go to Use Claude 3 for the latest information.
| Model | Vertex AI API model ID |
|---|---|
| Claude Sonnet 4.5 | claude-sonnet-4-5@20250929 |
| Claude Sonnet 4 | claude-sonnet-4@20250514 |
| Claude Sonnet 3.7 ⚠️ | claude-3-7-sonnet@20250219 |
| Claude Opus 4.5 | claude-opus-4-5@20251101 |
| Claude Opus 4.1 | claude-opus-4-1@20250805 |
| Claude Opus 4 | claude-opus-4@20250514 |
| Claude Opus 3 ⚠️ | claude-3-opus@20240229 |
| Claude Haiku 4.5 | claude-haiku-4-5@20251001 |
| Claude Haiku 3.5 ⚠️ | claude-3-5-haiku@20241022 |
| Claude Haiku 3 | claude-3-haiku@20240307 |
Before running requests you may need to run gcloud auth application-default login to authenticate with GCP.
The following examples shows how to generate text from Claude on Vertex AI:
from anthropic import AnthropicVertex
project_id = "MY_PROJECT_ID"
region = "global"
client = AnthropicVertex(project_id=project_id, region=region)
message = client.messages.create(
model="claude-sonnet-4-5@20250929",
max_tokens=100,
messages=[
{
"role": "user",
"content": "Hey Claude!",
}
],
)
print(message)See our client SDKs and the official Vertex AI docs for more details.
Vertex provides a request-response logging service that allows customers to log the prompts and completions associated with your usage.
Anthropic recommends that you log your activity on at least a 30-day rolling basis in order to understand your activity and investigate any potential misuse.
Turning on this service does not give Google or Anthropic any access to your content.
You can find all the features currently supported on Vertex here.
Starting with Claude Sonnet 4.5 and all future models, Google Vertex AI offers two endpoint types:
Regional endpoints include a 10% pricing premium over global endpoints.
This applies to Claude Sonnet 4.5 and future models only. Older models (Claude Sonnet 4, Opus 4, and earlier) maintain their existing pricing structures.
Global endpoints (recommended):
Regional endpoints:
Using global endpoints (recommended):
Set the region parameter to "global" when initializing the client:
from anthropic import AnthropicVertex
project_id = "MY_PROJECT_ID"
region = "global"
client = AnthropicVertex(project_id=project_id, region=region)
message = client.messages.create(
model="claude-sonnet-4-5@20250929",
max_tokens=100,
messages=[
{
"role": "user",
"content": "Hey Claude!",
}
],
)
print(message)Using regional endpoints:
Specify a specific region like "us-east1" or "europe-west1":
from anthropic import AnthropicVertex
project_id = "MY_PROJECT_ID"
region = "us-east1" # Specify a specific region
client = AnthropicVertex(project_id=project_id, region=region)
message = client.messages.create(
model="claude-sonnet-4-5@20250929",
max_tokens=100,
messages=[
{
"role": "user",
"content": "Hey Claude!",
}
],
)
print(message)