AI · head to head
Galileo vs Google Vertex AI

Galileo
AI
Evaluation and observability platform for GenAI applications and agents
- From
- Free
- Rated
- -

Google Vertex AI
Machine Learning
Unified ML platform to build, deploy, and scale AI models
- From
- On request
- Rated
- -
The short version
- Only Galileo has a free tier, so it costs nothing to try first.
- Each has a real cost: Galileo the free plan is limited to 5,000 traces per month, which is quickly outgrown by production workloads.; Google Vertex AI vendor lock-in to Google Cloud ecosystem makes migration to other platforms difficult
- They diverge on capability: Galileo covers Pre-built evaluations, Google Vertex AI covers AutoML.
Where they differ
Only the attributes on which Galileo and Google Vertex AI actually diverge.
| Attribute | Galileo | Google Vertex AI |
|---|---|---|
| Starting price | Free | On request |
| Pricing model | freemium | Unknown |
| Free tier | Yes | No |
| Platforms | web, api | Cloud, Web |
| Category | AI | Machine Learning |
| Founded | Unknown | 2008 |
Identical on both: user rating (Not yet rated).
What each one covers
Drawn from each product's published feature list. An absence here means we hold no record of it - not that the product lacks it.
Only in Galileo
- Pre-built evaluations
- Ground truth capture
- Luna models
- Agent behavior analysis
- Production guardrails
- Flexible deployment
Only in Google Vertex AI
- AutoML
- Custom training
- Feature Store
- Model monitoring
- Prediction serving
- BigQuery
- Cloud Storage
- TensorFlow
What people use each for
The jobs each tool is most often brought in to do.
Galileo
- Evaluating RAG and agent applications before production releasenot Google Vertex AI
- Monitoring live GenAI applications for failures and driftnot Google Vertex AI
- Applying real-time guardrails without custom integration worknot Google Vertex AI
- Reducing evaluation costs using distilled Luna judge modelsnot Google Vertex AI
Google Vertex AI
- Machine learningnot Galileo
- Data analysisnot Galileo
- Model trainingnot Galileo
- Predictive analyticsnot Galileo
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
Galileo
- The free plan is limited to 5,000 traces per month, which is quickly outgrown by production workloads.
- Real-time guardrails and unlimited trace capacity are reserved for the custom-priced Enterprise tier.
- Pro plan pricing scales with trace volume, so costs can grow unpredictably as usage increases.
- On-premises deployment requires an Enterprise contract rather than being available self-serve.
Google Vertex AI
- Vendor lock-in to Google Cloud ecosystem makes migration to other platforms difficult
- Requires familiarity with Google Cloud Platform infrastructure and concepts
- Cost can escalate quickly with large training and inference workloads
Pricing, plan by plan
Galileo
Free- FreeFree
- 5,000 traces/month
- Unlimited users
- Unlimited custom evaluations
- Pro$100/month
- 50,000 traces/month
- Standard role-based access control
- Advanced analytics and insights
- Enterprise$undefined/mo
- Unlimited trace capacity
- Custom rate limits
- Hosted, VPC, or on-prem deployment
Google Vertex AI
On requestNo published plan breakdown. See the Google Vertex AI review.
Which should you pick?
Choose Galileo if
- You need pre-built evaluations.
- You want to start without paying.
- You work on web, api.
- You also want ground truth capture.
Choose Google Vertex AI if
- You need automl.
- You work on Cloud, Web.
- You also want custom training.
Questions people ask
- Is Galileo or Google Vertex AI better?
- Neither clearly leads. Galileo starts at Free and Google Vertex AI at On request, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Galileo or Google Vertex AI?
- Galileo has a free tier; the other does not. Paid plans start at Free for Galileo and On request for Google Vertex AI.
- Does Galileo or Google Vertex AI run on more platforms?
- Galileo runs on web, api. Google Vertex AI runs on Cloud, Web.
- Can I use Galileo for free?
- Yes. Galileo has a free tier, so you can try it without paying. Google Vertex AI starts at On request.
- What is Galileo best used for?
- Galileo is most often used for evaluating rag and agent applications before production release, monitoring live genai applications for failures and drift, applying real-time guardrails without custom integration work, reducing evaluation costs using distilled luna judge models. Of those, evaluating rag and agent applications before production release and monitoring live genai applications for failures and drift are not what Google Vertex AI is typically brought in for.
- What can Galileo do that Google Vertex AI cannot?
- Galileo covers Pre-built evaluations, Ground truth capture, Luna models, Agent behavior analysis. Google Vertex AI covers AutoML, Custom training, Feature Store, Model monitoring.
Answered from the vendors’ own pages
Galileo: What does Galileo cost?
Galileo offers a free plan, a Pro plan at $100/month billed yearly (with a 33% annual discount), and a custom-priced Enterprise plan for unlimited trace capacity.
SourceGoogle Vertex AI: What is the pricing model for Google Vertex AI?
Vertex AI uses a pay-as-you-go model with no upfront costs or lock-in fees. Costs vary by service: training is billed by compute resources and time (30-second increments), online predictions by machine type per hour, and batch predictions by compute time or per-record for specific AutoML types.
SourceGalileo: Is there a free plan, and what are its limits?
The Free plan includes 5,000 traces per month with unlimited users and unlimited custom evaluations, aimed at developers and small teams experimenting with GenAI.
SourceGoogle Vertex AI: What types of data can Vertex AI handle?
Vertex AI supports image, video, text, and tabular data types with tools for uploading, storing, and managing large datasets.
SourceGalileo: How is usage metered?
Galileo's pricing scales based on the number of traces processed each month, with Free capped at 5,000, Pro at 50,000, and Enterprise offering unlimited trace capacity.
SourceGoogle Vertex AI: Does Vertex AI support custom model training?
Yes. Vertex AI supports both AutoML for automated machine learning and custom training code in Python, R, and other languages.
SourceGoogle Vertex AI: What deployment options are available in Vertex AI?
Vertex AI supports online predictions for real-time use cases and batch predictions for large-scale processing.
SourceRelated pages
More on Google Vertex AI
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