Last refreshed 2026-05-11. Next refresh: weekly.
Why use Gemini 1.0 Ultra on GCP Vertex AI?
GCP Vertex AI offers Gemini 1.0 Ultra with pay-as-you-go pricing at $1.00/1M 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-ultraRequest 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-ultra")
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 | $1.00 |
| Output tokens | $3.00 |
Capabilities
No model capability flags are currently sourced.
About Gemini 1.0 Ultra
Google's Gemini 1.0 Ultra is a leading large language model designed for tackling highly complex tasks with advanced analytical capabilities. As the largest model in the Gemini 1.0 family, it excels in coding, mathematical reasoning, and multimodal reasoning. Its strength lies in its ability to seamlessly understand and process diverse data types, including text, code, audio, images, and video. Gemini Ultra surpasses human experts on the MMLU benchmark with a 90% score, although it has limitations in image generation and some multimodal tasks. The model features a 32,000-token context window, less than some competitors, and access is primarily through a paid subscription or via Google Cloud for developers.
FAQ
What does Gemini 1.0 Ultra cost on GCP Vertex AI?
On GCP Vertex AI, Gemini 1.0 Ultra costs $1.00 per 1M input tokens and $3.00 per 1M output tokens.
What is the context window for Gemini 1.0 Ultra on GCP Vertex AI?
Gemini 1.0 Ultra supports a 1m token context window on GCP Vertex AI.
Who created Gemini 1.0 Ultra?
Gemini 1.0 Ultra was created by Google DeepMind as part of the Gemini 1.0 model family.
Is Gemini 1.0 Ultra open source?
Gemini 1.0 Ultra is not open source; the seed data lists it as proprietary.