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Pricing is quote-based.
Vertex AI has no published monthly or annual subscription price; Google bills usage as consumed. The listed option is Pay-as-you-go (Consumption-based), with $300 in credits for 90 days, not a free plan. Its listed monthly allowances cover 5,000 search and grounding queries across Gemini models, up to 100 Vizier trials, 50 vCPU-hours and 100 GiB-hours for Agent Runtime. Separate charges apply to grounding, Search, and pipeline runs, so the bill depends on what you build and run.
01Every plan, line by line
| Plan | Billed annually | Billed monthly | Built for |
|---|---|---|---|
| Pay-as-you-go (Consumption-based) | — | Quote | Teams paying for cloud resource consumption |
Add-ons and overages
- Grounding with your data: $2.50 per 1,000 prompts
- Grounding with Google Search or Maps: $14 per 1,000 queries after the monthly free allowance
- Web Grounding for Enterprise: $45 per 1,000 grounded prompts
- Vertex AI Search: $1.50–$4.00 per 1,000 queries
- Vertex AI Pipelines: $0.03 per pipeline run
02What the plan grid doesn't tell you
Grounding with your data
$2.50 per 1,000 prompts, charged in addition to consumption-based usage.
Search and Maps grounding
$14 per 1,000 queries after the monthly free allowance; its size is not published here.
Enterprise web grounding
Web Grounding for Enterprise costs $45 per 1,000 grounded prompts.
Search and pipeline charges
Vertex AI Search costs $1.50–$4.00 per 1,000 queries; Vertex AI Pipelines costs $0.03 per run.
03Which plan should you buy?
| If you are… | Get | Why |
|---|---|---|
| Teams testing Gemini search | Pay-as-you-go (Consumption-based) | It lists 5,000 monthly search and grounding queries across Gemini models; the $300 credit lasts 90 days. |
| Teams running agent workloads | Pay-as-you-go (Consumption-based) | The listed monthly allowances include 50 vCPU-hours and 100 GiB-hours for Agent Runtime. |
| Teams training and deploying models | Pay-as-you-go (Consumption-based) | Usage is billed as consumed, with no published subscription price to budget against. |
04Is Vertex AI worth the money?
Vertex AI is worth considering for teams that need one Google Cloud platform for model development, deployment, and operations: the published feature set spans training, agents, search, pipelines, and monitoring. Its trade-off against the broader AI-platform category is clear: consumption billing can scale with workload, but there is no published monthly price to budget against. The $300 credit helps teams start, yet variable usage and paid add-ons make it a poor fit for casual experimentation.
Vertex AI pricing FAQ
How much does a Vertex cost?
Vertex AI has no published monthly or annual subscription price in the published pricing details. Google bills usage as consumed. The listed option includes a $300 credit trial for 90 days, but grounding, Search, and pipeline charges can apply separately.
What is the new name of Google Vertex AI?
The published product information calls it Vertex AI and describes it as Google Cloud’s managed platform for building and operating AI and machine learning systems. It does not identify a new name or a rename, so we can’t confirm one from these details.
How much does 200 GB of Google storage cost?
The published Vertex AI pricing details do not list a price for 200 GB of Google storage. They describe usage-based Vertex AI charges and specific prices for grounding, Search, and pipelines, but provide no storage rate to quote.
Is Vertex AI better than Google AI Studio?
The published information describes Vertex AI as covering the AI lifecycle, including training, deployment, agents, search, and monitoring. It mentions Vertex AI Studio for prompt design and experimentation, but gives no details or pricing for Google AI Studio. Which is better depends on the features and costs you need.