Last refreshed 2026-05-11. Next refresh: weekly.
Why use Gemini 1.0 Pro on GCP Vertex AI?
GCP Vertex AI offers Gemini 1.0 Pro with pay-as-you-go pricing at $0.50/1M 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.
Setup 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-1.0-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-1.0-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.
Pricing
| Type | Price (per 1M) |
|---|---|
| Input tokens | $0.50 |
| Output tokens | $1.50 |
Capabilities
About Gemini 1.0 Pro
Gemini 1.0 Pro, developed by Google, is a versatile large language model capable of handling a wide range of text-based tasks, including multi-turn text and code chats, and code generation. It supports zero-shot, one-shot, and few-shot learning, enabling adaptability across various applications. Though primarily text-focused, it also processes images through its vision capabilities. Features include text generation, summarization, translation, question answering, multilingual support, and function calling for tool integration. However, it is deprecated and will be phased out by February 15, 2025, with users advised to upgrade to the Gemini 1.5 Pro or 1.5 Flash models 4671011.
FAQ
What does Gemini 1.0 Pro cost on GCP Vertex AI?
On GCP Vertex AI, Gemini 1.0 Pro costs $0.50 per 1M input tokens and $1.50 per 1M output tokens.
What is the context window for Gemini 1.0 Pro on GCP Vertex AI?
Gemini 1.0 Pro supports a 32,000 token context window on GCP Vertex AI.
Who created Gemini 1.0 Pro?
Gemini 1.0 Pro was created by Google DeepMind as part of the Gemini 1.0 model family.
Is Gemini 1.0 Pro open source?
Gemini 1.0 Pro's open source status is unknown in the seed data.