Using Claude Haiku 4.5 on GCP Vertex AI

Implementation guide · Claude 4.5 · Anthropic

Serverless

GCP Vertex AI exposes Claude Haiku 4.5 through model ID claude-haiku-4-5. 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
Create an account at GCP Vertex AI and generate an API key.
2
Use the GCP Vertex AI SDK or REST API to call claude-haiku-4-5 — see the documentation for request format.
3
You'll be billed $0.80/1M input, $4.00/1M output tokens. See full pricing.

API Portal Documentation Pricing

Code Examples

Install

pip install google-cloud-aiplatform

API key

GOOGLE_CLOUD_PROJECT

Model ID

claude-haiku-4-5

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-haiku-4-5")
response = model.generate_content("Hello")
print(response.text)

Pricing on GCP Vertex AI

Type	Price (per 1M)
Input tokens	$0.80
Output tokens	$4.00

Capabilities

VisionMultimodalJSON / Tool useStructured OutputsCode Execution

About Claude Haiku 4.5

Claude Haiku 4.5 is Anthropic's Claude 4.5 model with multimodal text and image input. It offers a 200K-token context window and scores 73.3 on SWE-bench Verified.

Full model details →

Model Specs

Released2025-10-01

Context200k

ArchitectureDecoder Only

Knowledge cutoff2025-02

Google Cloud Platform (GCP)

Mountain View, California, United States