Last refreshed 2026-07-26. Next refresh: weekly.
Why use Claude 3 Haiku on GCP Vertex AI?
GCP Vertex AI offers Claude 3 Haiku with pay-as-you-go pricing at $0.25/1M input tokens. Vertex AI is Google Cloud's managed AI platform, offering access to Gemini models and hundreds of partner models alongside tools for fine-tuning, grounding, vector search, and end-to-end MLOps pipelines.
Compare Claude 3 Haiku across 7 providers to find the best fit for your use caseInput / 1M
$0.25
Output / 1M
$1.25
Cache
Not sourced
Batch
Not sourced
Setup recipe
Python + curlInstall
pip install google-cloud-aiplatformAuth
export GOOGLE_CLOUD_PROJECT=...Call
import os
import vertexai
from vertexai.generative_models import GenerativeModel
vertexai.init(project=os.environ["GOOGLE_CLOUD_PROJECT"], location="us-central1")Model ID
claude-3-haikuRequest example
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)Gotchas
- 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".
- The examples expect GOOGLE_CLOUD_PROJECT; rename it only if your application config maps the new variable.
Compare Claude 3 Haiku Across Providers
| Provider | Input (per 1M) | Output (per 1M) |
|---|---|---|
| AWS Bedrock | $0.25 | $1.25 |
| GCP Vertex AI | $0.25 | $1.25 |
| Salesforce Einstein Generative AI | — | — |
| Anthropic | $0.25 | $1.25 |
| OpenRouter | $0.25 | $1.25 |
Pricing
| 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.
Get Started
Model Specs
Released2024-03-04
Parameters20B
Context200k
ArchitectureDecoder Only
Knowledge cutoff2023-08