Using Claude Haiku 5.5 on GCP Vertex AI

Implementation guide · Claude 5.5 · Anthropic

Serverless

GCP Vertex AI exposes Claude Haiku 5.5 through model ID claude-haiku-5-5. Use the setup steps, sourced pricing, capabilities, and official provider links below to validate this route before deployment.

Last refreshed 2026-10-07. 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-haiku-5-5 — see the documentation for request format.
  3. 3
    You'll be billed $0.10/1M input, $0.50/1M output tokens. See full pricing.

Code Examples

Install
pip install google-cloud-aiplatform
API key
GOOGLE_CLOUD_PROJECT
Model ID
claude-haiku-5-5

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

Pricing on GCP Vertex AI

TypePrice (per 1M)
Input tokens$0.10
Output tokens$0.50

Capabilities

VisionMultimodalReasoningJSON / Tool useStructured OutputsPrompt CachingBatch API

About Claude Haiku 5.5

Anthropic's Claude Haiku 5.5, third model in the Claude 5.5 family, released October 7, 2026. First-party positioning: cheapest, fastest, and most capable small model yet; built for high-volume, cost-sensitive work (summaries, compaction, classification, routing, subagents, live support, browser/computer use). First Haiku with effort controls and adaptive thinking (default effort medium). Claude API id claude-haiku-5-5. Prompt-length pricing: ≤100K tokens $0.10/$0.50 per 1M input/output; >100K $0.50/$2.50. Cache (≤100K): 5m write $0.125, 1h write $0.20, read $0.01; (>100K): $0.625/$1/$0.05. Batch API 50% off.

Model Specs

Released2026-10-07
Context1.05m
ArchitectureDecoder Only
Knowledge cutoff2026-06

Provider

GCP Vertex AI

Google Cloud Platform (GCP)

Mountain View, California, United States