LLM Reference
GCP Vertex AI

Gemma 3 4B IT on GCP Vertex AI

Gemma 3 · Google DeepMind

ServerlessOpen Weights

Last refreshed 2026-06-15. Next refresh: weekly.

Why use Gemma 3 4B IT on GCP Vertex AI?

GCP Vertex AI offers Gemma 3 4B IT with pay-as-you-go pricing at $0.04/1M 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 Gemma 3 4B IT across 3 providers to find the best fit for your use case
Input / 1M
$0.040
Output / 1M
$0.080
Cache
Not sourced
Batch
Not sourced

Setup recipe

Python + curl
Install
pip install google-cloud-aiplatform
Auth
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
gemma-3-4b-it

Request 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("gemma-3-4b-it")
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 Gemma 3 4B IT Across Providers

ProviderInput (per 1M)Output (per 1M)
AWS Bedrock$0.20$0.20
OpenRouter$0.04$0.08
GCP Vertex AI$0.04$0.08

Pricing

TypePrice (per 1M)
Input tokens$0.04
Output tokens$0.08

Capabilities

Structured Outputs

About Gemma 3 4B IT

Gemma 3 4B IT is Google DeepMind's Gemma 3 model. Its knowledge cutoff is 2024-08.

Get Started

Model Specs

Released2026-01-01
Parameters4B
Context128k
Knowledge cutoff2024-08

Related Models on GCP Vertex AI