Gemini Enterprise Agent Platform
Verified Oct 2, 2026 ActiveGoogle Cloud's platform for building, tuning, deploying and governing AI agents and models, formerly sold as Vertex AI.
Listed on EffectHub ·
Pricing
- Pricing model
- Paid
Pay as you go on Google Cloud: generative models are billed by usage such as tokens, while training, deployment and prediction are billed per node hour in 30-second increments. New customers get up to $300 in free credits. No single starting price applies, so none is listed here.
Use tool ↗About Gemini Enterprise Agent Platform
Gemini Enterprise Agent Platform is Google Cloud's developer platform for generative AI and machine learning. It offers Model Garden with more than 200 Google, third-party and open models including Gemini, Claude and Gemma, an Agent Studio for building agents, tuning and evaluation tools, notebooks, custom training, prediction endpoints and MLOps services such as pipelines, a model registry and a feature store. It connects natively with BigQuery. Google renamed Vertex AI to this name in April 2026 and says existing workloads and billing carry over unchanged.
- Platforms
- Web · API
- API
- Yes
- Last verified
- Oct 2, 2026
Verified sources
- Platform scope and rename: Gemini Enterprise Agent Platform, formerly Vertex AI, with Model Garden and agent toolscloud.google.com ↗
- Pay-as-you-go pricing model, per-node-hour training and prediction, 30-second incrementscloud.google.com ↗
- Platform documentation and legacy Vertex AI continuitycloud.google.com ↗
Is Gemini Enterprise Agent Platform legit?
We don’t label tools safe or unsafe. Below are the records we checked ourselves, each with the date we read it.
- Last checked
- Oct 2, 2026The site answered
- On the market since
- 2021The vendor's own material, read by us
- Operated by
- Google LLC (Google Cloud), United StatesOur research, card verified Oct 2, 2026
Pros & cons of Gemini Enterprise Agent Platform
This is the broad option for organisations already on Google Cloud that want models, agent building, tuning and MLOps under one roof and one bill. It gives access to Gemini plus Claude and open models, which reduces vendor lock to a single lab. For a small team that only needs a model API, the surrounding cloud setup and billing structure are heavy.
Pros
- Model Garden spans Google, third-party and open models with tuning and evaluation tools
- Covers the whole lifecycle: studio, agents, notebooks, training, endpoints and MLOps
- Native integration with BigQuery and other Google Cloud data services
- Existing Vertex AI SDKs, workloads and billing continue after the rename
Cons
- Usage-based pricing across many SKUs is hard to forecast
- Requires a Google Cloud project and IAM setup before first use
- Product names have shifted, so older documentation and tutorials still say Vertex AI
Best for
- Enterprises standardising AI work on Google Cloud and BigQuery
- ML teams that need training, deployment and monitoring in one managed platform
- Developers who want one place to try Gemini, Claude and open models
Not for
- Individuals who want a flat-price chat or coding subscription
- Teams outside Google Cloud who just need a simple model API
Watch out: Vertex AI was renamed in April 2026; search results, SDK names and older tutorials still use the old name. Deployed AutoML and prediction endpoints keep billing per node hour until you undeploy them.
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