AI · head to head
Galileo vs LangChain

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

LangChain
Machine Learning
Build applications with LLMs through composability
- 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.; LangChain the free Developer plan of LangSmith is limited to 1 seat
- They diverge on capability: Galileo covers Pre-built evaluations, LangChain covers Chains and agents.
Where they differ
Only the attributes on which Galileo and LangChain actually diverge.
Identical on both: starting price (Free), pricing model (freemium), 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 LangChain
- Chains and agents
- Retrieval-augmented generation
- Memory management
- Tool integration
- Prompt templates
- OpenAI
- Anthropic
- Hugging Face
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 LangChain
- Monitoring live GenAI applications for failures and driftnot LangChain
- Applying real-time guardrails without custom integration worknot LangChain
- Reducing evaluation costs using distilled Luna judge modelsnot LangChain
LangChain
- Building LLM applications and agents in Python or JavaScriptnot Galileo
- Tracing and debugging LLM chains and agent runsnot Galileo
- Evaluating prompt and model changes against datasetsnot 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.
LangChain
- The free Developer plan of LangSmith is limited to 1 seat
- Base traces are retained for 14 days only; 400 day retention costs extra
- Included traces are capped at 5,000 per month on Developer and 10,000 per month on Plus, with everything beyond billed pay as you go
- Self hosted and hybrid deployment of LangSmith is Enterprise only
- Custom SSO, RBAC and ABAC are Enterprise only
- A support SLA is Enterprise only
- Enterprise pricing is by quote with no published rate
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
LangChain
Free- Open SourceFree
- Full framework
- Community support
- LangSmith$39/month
- Debugging
- Monitoring
- Testing
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 LangChain if
- You need chains and agents.
- You want to start without paying.
- You work on Linux, Mac, Windows.
- You also want retrieval-augmented generation.
Questions people ask
- Is Galileo or LangChain better?
- Neither clearly leads. Galileo starts at Free and LangChain at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Galileo or LangChain?
- Galileo starts at Free and LangChain at Free.
- Does Galileo or LangChain run on more platforms?
- Galileo runs on web, api. LangChain runs on Linux, Mac, Windows.
- 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 LangChain is typically brought in for.
- What can Galileo do that LangChain cannot?
- Galileo covers Pre-built evaluations, Ground truth capture, Luna models, Agent behavior analysis. LangChain covers Chains and agents, Retrieval-augmented generation, Memory management, Tool integration.
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.
SourceLangChain: Does LangChain charge for its services?
LangChain's main website does not display pricing. However, LangSmith (a related platform) offers both free and paid plans. Visit the dedicated pricing page or contact LangChain for details.
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.
SourceLangChain: How can I learn about LangChain pricing?
Click on the Pricing link in navigation or use the Try LangSmith or Get a demo options to explore pricing for LangChain's commercial offerings.
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.
SourceRelated pages
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- LangChain vs Arize AI
- LangChain vs ChatGPT
- LangChain vs Perplexity
- LangChain vs AutoGen
- LangChain vs Black Forest Labs
- LangChain vs Cartesia
- LangChain vs Deepgram
- LangChain vs Helicone
- LangChain vs Ideogram
- LangChain vs Jasper
- LangChain vs LangGraph
- LangChain vs Lindy
- LangChain vs AWS SageMaker
- LangChain vs Google Vertex AI
- LangChain vs Azure Machine Learning
- LangChain vs DataRobot
- LangChain vs MLflow
- LangChain vs Snowflake
- LangChain vs TensorFlow
- LangChain vs Comet ML
- LangChain vs Jupyter
- LangChain vs Pinecone
- LangChain vs Python
- LangChain vs PyTorch
- LangChain vs scikit-learn
- LangChain vs Apache Spark MLlib
- LangChain vs Weaviate
- LangChain vs Weights & Biases
- LangChain vs Alteryx
- LangChain vs Anaconda
