Using Claude 3 Haiku on GCP Vertex AI

Implementation guide · Claude 3 · Anthropic

Serverless

GCP Vertex AI exposes Claude 3 Haiku through model ID claude-3-haiku. 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-3-haiku — see the documentation for request format.
3
You'll be billed $0.25/1M input, $1.25/1M output tokens. See full pricing.

API Portal Documentation Pricing Model Card

Code Examples

Install

pip install google-cloud-aiplatform

API key

GOOGLE_CLOUD_PROJECT

Model ID

claude-3-haiku

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

Pricing on GCP Vertex AI

Type	Price (per 1M)
Input tokens	$0.25
Output tokens	$1.25

Capabilities

VisionMultimodalReasoningStructured OutputsCode Execution

About Claude 3 Haiku

Claude 3 Haiku is Anthropic's Claude 3 model with multimodal text and image input and an optional reasoning mode. It is deprecated (originally released 2024-03-04); use it only for reproducing earlier results or evaluating drift over time.

Full model details →

Model Specs

Released2024-03-04

Parameters20B

Context200k

ArchitectureDecoder Only

Knowledge cutoff2023-08

Google Cloud Platform (GCP)

Mountain View, California, United States