Last refreshed 2026-05-11. Next refresh: weekly.
Why use Gemini 1.5 Pro on GCP Vertex AI?
GCP Vertex AI offers Gemini 1.5 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 1.5 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-1.5-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-1.5-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 1.5 Pro Across Providers
| Provider | Input (per 1M) | Output (per 1M) |
|---|---|---|
| GCP Vertex AI | $1.25 | $5.00 |
| Google AI Studio | — | — |
Pricing
| Type | Price (per 1M) |
|---|---|
| Input tokens | $1.25 |
| Output tokens | $5.00 |
| Image input | $1.31 |
| Video input | $4.73 |
| Audio input | $0.45 |
Capabilities
About Gemini 1.5 Pro
Gemini 1.5 Pro, created by Google DeepMind, is a state-of-the-art multimodal large language model that significantly advances over its predecessors in processing and analyzing large datasets across various formats like text, images, audio, and video. It features a highly extended context window of up to 2 million tokens, allowing it to maintain coherence over lengthy interactions. With over 200 billion parameters, the model excels in tasks requiring nuanced language processing, coding assistance, and advanced reasoning. Integrated into Google's platforms such as Vertex AI, Gemini 1.5 Pro also emphasizes ethical considerations, ensuring safety and appropriateness in AI deployment.
FAQ
What does Gemini 1.5 Pro cost on GCP Vertex AI?
On GCP Vertex AI, Gemini 1.5 Pro costs $1.25 per 1M input tokens and $5.00 per 1M output tokens.
What is the context window for Gemini 1.5 Pro on GCP Vertex AI?
Gemini 1.5 Pro supports a 2,000,000 token context window on GCP Vertex AI.
How does GCP Vertex AI compare to other Gemini 1.5 Pro providers?
Gemini 1.5 Pro is available from 2 providers. The cheapest input pricing is $1.25/1M tokens from GCP Vertex AI.
Who created Gemini 1.5 Pro?
Gemini 1.5 Pro was created by Google DeepMind as part of the Gemini 1.5 model family.
Is Gemini 1.5 Pro open source?
Gemini 1.5 Pro's open source status is unknown in the seed data.