AI · head to head
Galileo vs Semantic Kernel

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

Semantic Kernel
Machine Learning
Model-agnostic SDK for AI orchestration
- From
- Free
- Rated
- -
The short version
- Each has a real cost: Galileo the free plan is limited to 5,000 traces per month, which is quickly outgrown by production workloads.; Semantic Kernel steep learning curve for advanced features
- They diverge on capability: Galileo covers Pre-built evaluations, Semantic Kernel covers Multi-model support.
Where they differ
Only the attributes on which Galileo and Semantic Kernel actually diverge.
| Attribute | Galileo | Semantic Kernel |
|---|---|---|
| Pricing model | freemium | Open source, no pricing |
| Platforms | web, api | Python, .NET, Java |
| Category | AI | Machine Learning |
Identical on both: starting price (Free), free tier (Yes), 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 Semantic Kernel
- Multi-model support
- Agent framework
- Multi-agent systems
- Plugin ecosystem
- Vector database integration
- Multimodal support
- Local model support
- Enterprise observability
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 Semantic Kernel
- Monitoring live GenAI applications for failures and driftnot Semantic Kernel
- Applying real-time guardrails without custom integration worknot Semantic Kernel
- Reducing evaluation costs using distilled Luna judge modelsnot Semantic Kernel
Semantic Kernel
- Building enterprise AI applications with LLM integrationnot Galileo
- Creating multi-agent systems for complex workflowsnot Galileo
- Developing AI-powered chatbots and assistantsnot Galileo
- Implementing RAG systems with vector databasesnot 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.
Semantic Kernel
- Steep learning curve for advanced features
- Documentation focuses on Azure cloud services
- Configuration complexity for multi-model scenarios
- Requires understanding of AI/LLM concepts
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
Semantic Kernel
Free- Open SourceFree
- MIT license
- Full framework access
- All language SDKs
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 Semantic Kernel if
- You need multi-model support.
- You want to start without paying.
- You work on Python, .NET, Java.
- You also want agent framework.
Questions people ask
- Is Galileo or Semantic Kernel better?
- Neither clearly leads. Galileo starts at Free and Semantic Kernel at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Galileo or Semantic Kernel?
- Galileo starts at Free and Semantic Kernel at Free.
- Does Galileo or Semantic Kernel run on more platforms?
- Galileo runs on web, api. Semantic Kernel runs on Python, .NET, Java.
- Can I use Galileo for free?
- Both have a free tier, so you can try either at no cost before committing.
- 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 Semantic Kernel is typically brought in for.
- What can Galileo do that Semantic Kernel cannot?
- Galileo covers Pre-built evaluations, Ground truth capture, Luna models, Agent behavior analysis. Semantic Kernel covers Multi-model support, Agent framework, Multi-agent systems, Plugin ecosystem.
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.
SourceSemantic Kernel: What LLM providers does Semantic Kernel support?
Semantic Kernel supports OpenAI, Azure OpenAI, Hugging Face, Nvidia, and other providers through extensible model implementations.
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.
SourceSemantic Kernel: Can I run Semantic Kernel locally?
Yes. Semantic Kernel supports local models through Ollama, LMStudio, and ONNX for complete data control and offline operation.
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.
SourceSemantic Kernel: Is Semantic Kernel free?
Yes. Semantic Kernel is MIT-licensed open source and completely free. You only pay for external LLM APIs you use.
SourceRelated pages
More on Semantic Kernel
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