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Google Vertex AI Pricing Calculator Review
The Google Vertex AI Pricing Calculator is a component of the broader Google Cloud Pricing Calculator that allows users to estimate costs for various Vertex AI services and highlights free-tier allowances.
shipped Nov 20, 2025pricing & licensingpaid
1Offers a free tier for eligible Vertex AI services.
2Provides cost estimates for Google Cloud products, including Vertex AI components.
3Supports multiple currencies for estimates, including United States Dollar (USD) and Great Britain Pound (GBP).
4Allows sharing cost estimates via link and downloading them as .csv files.
Google Vertex AI Pricing Calculator at a Glance
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overview
What is Google Vertex AI Pricing Calculator?
Google Vertex AI Pricing Calculator is a pricing and licensing tool developed by Google Cloud that enables Google Cloud users and businesses to estimate costs for Vertex AI services. It integrates with the Google Cloud Pricing Calculator to project expenses for generative AI, custom training, and specialized AI services. This functionality assists users in budgeting for machine learning model development, deployment, and inference, providing cost estimates before deployment to facilitate informed decision-making. The calculator also allows for comparison of different configurations by adjusting parameters such as model types, data volumes, and compute resources, and highlights free-tier benefits and overage pricing for eligible Vertex AI services.
quick facts
Quick Facts
| Attribute | Value |
|---|---|
| Developer | Google Cloud |
| Business Model | Freemium / Usage-based |
| Pricing | Freemium, usage-based (e.g., Gemini 2.5 Flash-Lite starting at $0.10 per million input tokens) |
| Platforms | Web, API |
| API Available | Yes |
| Integrations | Google Cloud ecosystem |
| Privacy Policy URL | https://policies.google.com/privacy |
| Status Page URL | https://status.cloud.google.com/ |
features
Key Features of Google Vertex AI Pricing Calculator
The Google Vertex AI Pricing Calculator, integrated within the Google Cloud Pricing Calculator, offers a suite of functionalities designed to provide transparent and configurable cost estimations for AI workloads. These features support comprehensive financial planning and resource allocation for Vertex AI deployments.
- 1Calculates cost estimates for various Google Cloud products, specifically including Vertex AI components.
- 2Enables users to configure products with anticipated usage parameters for precise cost estimations.
- 3Facilitates sharing of cost estimates with team members via a unique link.
- 4Allows users to link their billing account to apply negotiated prices to estimates.
- 5Supports adjustment of currency for cost estimates, including USD and GBP.
- 6Provides options to show FedRAMP compliance considerations for estimates.
- 7Offers the capability to download detailed estimates as .csv files for offline analysis.
- 8Supports the creation of new estimates by duplicating existing configurations.
- 9Provides an API for programmatic access to pricing information and estimate generation.
- 10Includes a detailed view of individual cost items within an estimate.
use cases
Who Should Use Google Vertex AI Pricing Calculator?
The Google Vertex AI Pricing Calculator is designed for a diverse range of users and organizations engaged in AI development and deployment on the Google Cloud platform. Its capabilities cater to financial planning, project management, and technical resource allocation.
- 1Businesses accelerating digital transformation that require accurate cost projections for AI initiatives.
- 2Teams needing to share and collaborate on AI project budget estimates across departments.
- 3Users planning machine learning model development, deployment, and inference, particularly for generative AI and custom training.
- 4Organizations seeking to apply negotiated Google Cloud prices to their AI cost estimates for improved accuracy.
- 5Developers and data scientists budgeting for specialized Vertex AI services such as Vertex AI Search and Vector Search.
pricing
Google Vertex AI Pricing Calculator Pricing & Plans
The Google Vertex AI Pricing Calculator itself is a free tool for estimating costs, but the underlying Vertex AI services are usage-based, with a freemium model that includes specific free-tier allowances. Pricing for Vertex AI services is dynamic, based on factors such as model inference (tokens), custom model training (node-hours, GPUs), online predictions (requests, node-hours), and data storage. Google Cloud emphasizes cost optimization through features like no minimum usage requirements, billing in 30-second windows, auto-scaling, and batch processing. Committed Use Discounts (CUDs) are available, offering up to 55% savings on Vertex AI compute costs for 1-year or 3-year commitments.
- 1Free Tier: Vendor website advertises a free tier for eligible Vertex AI services, allowing users to explore capabilities without initial cost.
- 2Generative AI Models (e.g., Gemini 2.5 Flash-Lite): Starting at $0.10 per million input tokens and $0.40 per million output tokens.
- 3Generative AI Models (e.g., Gemini 2.5 Pro): Starting at $1.25 per million input tokens and $10.00 per million output tokens.
- 4Video Generation Models (e.g., Vertex AI Veo 3): Priced at $0.50 per second for video-only and $0.75 per second for video with audio.
- 5GPU Pricing: On-demand H100 instances are approximately $80 to $90 per hour for 8-GPU configurations (as of early 2026).
competitors
Google Vertex AI Pricing Calculator vs Competitors
The Google Vertex AI Pricing Calculator operates within a competitive landscape dominated by other major cloud providers' AI/ML platforms and specialized AI model providers. While Vertex AI aims to be a unified platform for the entire ML lifecycle, its pricing estimation tools are compared against those offering similar or complementary services.
1
AWS Pricing Calculator (for Amazon SageMaker)↗
Provides detailed cost estimations for Amazon SageMaker's comprehensive suite of machine learning services, including training, inference, and various components.
Similar to Google Vertex AI Pricing Calculator, it helps users estimate costs for a broad ML platform, but specifically for AWS SageMaker services like instance types, training duration, and model deployment, often highlighting free-tier allowances.
2
Azure Pricing Calculator (for Azure Machine Learning)↗
Offers cost estimations for Azure Machine Learning, integrating with the broader Azure ecosystem and its various compute and storage options.
Directly comparable to Vertex AI's calculator, it allows users to estimate costs for building, training, and deploying ML models on Azure, including considerations for different compute capacities, savings plans, and other consumed Azure services.
3
OpenAI API Pricing↗
Focuses on transparent, token-based pricing for its leading generative AI models (LLMs, image generation, etc.), with options for different model sizes and usage tiers.
Unlike Vertex AI's calculator which covers a broad ML platform, OpenAI's pricing is primarily for direct API consumption of specific AI models, detailing costs per token for input and output, and sometimes offering free credits for new users.
4
Hugging Face Pricing↗
Provides pricing for dedicated inference endpoints, training clusters, and data storage, catering to users leveraging open-source AI models and the Hugging Face ecosystem.
While Vertex AI offers a managed platform, Hugging Face's pricing focuses on providing compute resources for training and deploying models from its vast open-source library, with detailed hourly rates for different hardware configurations and a free tier for the Hub.
5
IBM watsonx Models - LLM Cost Calculator↗
Offers cost estimation for various IBM watsonx AI models, allowing users to compare pricing, context windows, and capabilities for different use cases.
Similar to OpenAI, this calculator focuses on the cost of using specific AI models (LLMs) from IBM's watsonx platform, providing a direct comparison for model-specific AI consumption rather than the broader ML platform cost estimation of Vertex AI.
❓
Frequently Asked Questions
+What is Google Vertex AI Pricing Calculator?
Google Vertex AI Pricing Calculator is a pricing and licensing tool developed by Google Cloud that enables Google Cloud users and businesses to estimate costs for Vertex AI services. It integrates with the Google Cloud Pricing Calculator to project expenses for generative AI, custom training, and specialized AI services.
+Is Google Vertex AI Pricing Calculator free?
The Google Vertex AI Pricing Calculator tool itself is free to use for estimating costs. However, the underlying Vertex AI services are usage-based and operate on a freemium model, including specific free-tier allowances. For example, Gemini 2.5 Flash-Lite starts at $0.10 per million input tokens, and Committed Use Discounts can offer up to 55% savings on compute costs.
+What are the main features of Google Vertex AI Pricing Calculator?
Key features include calculating cost estimates for Vertex AI products, configuring products for detailed estimates, sharing estimates via link or .csv, adjusting currency (USD, GBP), applying negotiated prices, highlighting free-tier allowances, and providing an API for programmatic access.
+Who should use Google Vertex AI Pricing Calculator?
The calculator is intended for businesses accelerating digital transformation, teams needing to share AI project budget estimates, users planning machine learning model development and deployment on Google Cloud, and organizations seeking to apply negotiated prices to their AI cost projections.
+How does Google Vertex AI Pricing Calculator compare to alternatives?
Google Vertex AI Pricing Calculator provides comprehensive cost estimation for the Google Cloud AI/ML ecosystem. It differs from AWS Pricing Calculator (for SageMaker) and Azure Pricing Calculator (for Azure ML) by focusing on Google's specific services. Unlike OpenAI API Pricing or IBM watsonx Models - LLM Cost Calculator, which focus on direct model consumption, Vertex AI's calculator covers a broader managed ML platform. It also contrasts with Hugging Face Pricing, which emphasizes compute resources for open-source models.
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