Azure Machine Learning vs Gemini Enterprise Agent Platform
A side-by-side look at pricing plans, free tiers, features, pros and cons, updated for 2026. Azure Machine Learning starts at See pricing page and Gemini Enterprise Agent Platform starts at See pricing page. Check both pricing pages for current plans.
Google Cloud's platform for models and agents, formerly Vertex AI
PaidAt a glance
Best for
Category
Pricing model
Starting price
Free plan
Made by
Based in
Rating
Key features
- AutoML
- Drag-and-drop designer
- Managed compute and endpoints
- Model registry
- MLflow tracking
- Prompt flow
- Model Garden
- Fine-tuning and evaluation
- Search grounding
- Agent hosting
- Enterprise security controls
| Feature | Azure Machine Learning | Gemini Enterprise Agent Platform |
|---|---|---|
| Best for | Microsoft's cloud platform for training, deploying and managing ML models | Google Cloud's platform for models and agents, formerly Vertex AI |
| Category | Models & APIs | Models & APIs |
| Pricing model | Paid | Paid |
| Starting price | See pricing page | See pricing page |
| Free plan | No | No |
| Made by | Microsoft | |
| Based in | United States | United States |
| Rating | No ratings yet | No ratings yet |
| Key features |
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Pricing compared
Azure Machine Learning starts at See pricing page and Gemini Enterprise Agent Platform starts at See pricing page. Check both pricing pages for current plans.
Free plan
Cheapest paid plan
Top plan
Free trial
Prices in USD, checked Oct 28, 2026 or later. Plans change often, so confirm on each tool's site before you buy.
Pros and cons
Azure Machine Learning
- Covers the full model lifecycle
- Code-first and low-code options
- Strong enterprise security on Azure
- Compute costs are hard to predict
- Steep learning curve for newcomers
- Tied to the Azure ecosystem
Gemini Enterprise Agent Platform
- Many models under one bill
- Deep Google Cloud integration
- Strong governance tools
- Complex for small teams
- Renamed services confuse docs
- Pricing spread across many SKUs
Which one should you choose?
Choose Azure Machine Learning if you want:
- Covers the full model lifecycle
- Code-first and low-code options
- Strong enterprise security on Azure
Watch out: compute costs are hard to predict.
Choose Gemini Enterprise Agent Platform if you want:
- Many models under one bill
- Deep Google Cloud integration
- Strong governance tools
Watch out: complex for small teams.
Azure Machine Learning vs Gemini Enterprise Agent Platform FAQ
What is the difference between Azure Machine Learning and Gemini Enterprise Agent Platform?
Azure Machine Learning: Microsoft's cloud platform for training, deploying and managing ML models. Gemini Enterprise Agent Platform: Google Cloud's platform for models and agents, formerly Vertex AI. Both are models & apis tools.
Is Azure Machine Learning or Gemini Enterprise Agent Platform cheaper?
Azure Machine Learning starts at See pricing page and Gemini Enterprise Agent Platform starts at See pricing page. Check both pricing pages for current plans.
Do Azure Machine Learning and Gemini Enterprise Agent Platform have free plans?
Azure Machine Learning: No. Gemini Enterprise Agent Platform: No.
Who makes Azure Machine Learning?
Azure Machine Learning is made by Microsoft, based in United States.
Who makes Gemini Enterprise Agent Platform?
Gemini Enterprise Agent Platform is made by Google, based in United States.
Which should I choose, Azure Machine Learning or Gemini Enterprise Agent Platform?
Choose Azure Machine Learning if you value covers the full model lifecycle and code-first and low-code options. Choose Gemini Enterprise Agent Platform if you value many models under one bill and deep google cloud integration.