Last refreshed 2026-05-11. Next refresh: weekly.
Why use Gemini 3 Pro on GCP Vertex AI?
GCP Vertex AI offers Gemini 3 Pro with pay-as-you-go pricing at $1.25/1M 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 Gemini 3 Pro across 2 providers to find the best fit for your use caseSetup recipe
Python + curlpip install google-cloud-aiplatformexport GOOGLE_CLOUD_PROJECT=...import os
import vertexai
from vertexai.generative_models import GenerativeModel
vertexai.init(project=os.environ["GOOGLE_CLOUD_PROJECT"], location="us-central1")gemini-3-proRequest 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("gemini-3-pro")
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 Gemini 3 Pro Across Providers
| Provider | Input (per 1M) | Output (per 1M) |
|---|---|---|
| Replicate API | $2.00 | $12.00 |
| GCP Vertex AI | $1.25 | $5.00 |
Pricing
| Type | Price (per 1M) |
|---|---|
| Input tokens | $1.25 |
| Output tokens | $5.00 |
Capabilities
About Gemini 3 Pro
Google DeepMind's most advanced reasoning Gemini model. Part of the Gemini 3 series with frontier-class intelligence, multimodal understanding, and 1M token context window.
FAQ
What does Gemini 3 Pro cost on GCP Vertex AI?
On GCP Vertex AI, Gemini 3 Pro costs $1.25 per 1M input tokens and $5.00 per 1M output tokens.
What is the context window for Gemini 3 Pro on GCP Vertex AI?
Gemini 3 Pro supports a 1m token context window on GCP Vertex AI.
How does GCP Vertex AI compare to other Gemini 3 Pro providers?
Gemini 3 Pro is available from 2 providers. The cheapest input pricing is $1.25/1M tokens from GCP Vertex AI.
Who created Gemini 3 Pro?
Gemini 3 Pro was created by Google DeepMind as part of the Gemini 3 model family.
Is Gemini 3 Pro open source?
Gemini 3 Pro is not open source; the seed data lists it as proprietary.