AI · head to head
Arize AI vs LangChain

Arize AI
AI
AI engineering platform for observability and evaluation of agents and LLM apps
- From
- Free
- Rated
- -

LangChain
Machine Learning
Build applications with LLMs through composability
- From
- Free
- Rated
- -
The short version
- Each has a real cost: Arize AI the free plan caps trace spans at 25,000 per month with only 15 days of retention.; LangChain the free Developer plan of LangSmith is limited to 1 seat
- They diverge on capability: Arize AI covers End-to-end tracing, LangChain covers Chains and agents.
Where they differ
Only the attributes on which Arize AI 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 Arize AI
- End-to-end tracing
- Evaluation framework
- Prompt testing and improvement
- Alyx AI engineering agent
- Custom dashboards
- Data warehouse integrations
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.
Arize AI
- Tracing and debugging production AI agentsnot LangChain
- Running large-scale evaluations across traces and sessionsnot LangChain
- Improving prompts before production rolloutnot LangChain
- Storing and querying GenAI traces alongside a data warehousenot LangChain
LangChain
- Building LLM applications and agents in Python or JavaScriptnot Arize AI
- Tracing and debugging LLM chains and agent runsnot Arize AI
- Evaluating prompt and model changes against datasetsnot Arize AI
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
Arize AI
- The free plan caps trace spans at 25,000 per month with only 15 days of retention.
- Self-hosted deployment and Data Fabric integration are restricted to the custom-priced Enterprise tier.
- Pricing beyond the $50/month Pro plan requires a custom quote, making cost planning less transparent at scale.
- Advanced compliance features like HIPAA are only available on Enterprise.
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
Arize AI
Free- AX FreeFree
- 25k trace spans/month
- 1 GB storage/month
- 15-day retention
- AX Pro$50/month
- 50k trace spans/month
- 10 GB storage/month
- 30-day retention
- AX Enterprise$undefined/mo
- Custom trace spans, storage, and retention
- SaaS or self-hosted deployment
- Managed agents and Data Fabric
LangChain
Free- Open SourceFree
- Full framework
- Community support
- LangSmith$39/month
- Debugging
- Monitoring
- Testing
Which should you pick?
Choose Arize AI if
- You need end-to-end tracing.
- You want to start without paying.
- You work on web, api.
- You also want evaluation framework.
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 Arize AI or LangChain better?
- Neither clearly leads. Arize AI 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, Arize AI or LangChain?
- Arize AI starts at Free and LangChain at Free.
- Does Arize AI or LangChain run on more platforms?
- Arize AI runs on web, api. LangChain runs on Linux, Mac, Windows.
- Can I use Arize AI for free?
- Both have a free tier, so you can try either at no cost before committing.
- What is Arize AI best used for?
- Arize AI is most often used for tracing and debugging production ai agents, running large-scale evaluations across traces and sessions, improving prompts before production rollout, storing and querying genai traces alongside a data warehouse. Of those, tracing and debugging production ai agents and running large-scale evaluations across traces and sessions are not what LangChain is typically brought in for.
- What can Arize AI do that LangChain cannot?
- Arize AI covers End-to-end tracing, Evaluation framework, Prompt testing and improvement, Alyx AI engineering agent. LangChain covers Chains and agents, Retrieval-augmented generation, Memory management, Tool integration.
Answered from the vendors’ own pages
Arize AI: What does Arize AX cost?
Arize AX offers a free plan, a Pro plan at $50/month, and a custom-priced Enterprise plan, with pricing based on trace spans, storage, and retention needs.
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.
SourceArize AI: Is there a free plan, and what are its limits?
The AX Free plan includes 25,000 trace spans and 1 GB of storage per month with 15-day retention, plus unlimited users, evaluations, and experiments.
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.
SourceArize AI: What deployment options are available?
Free and Pro plans are SaaS-only, while Enterprise customers can choose SaaS or self-hosted deployment with custom SLAs.
SourceRelated pages
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- LangChain vs Fathom
- LangChain vs Together AI
- LangChain vs Stable Diffusion
- LangChain vs ChatGPT
- LangChain vs Perplexity
- LangChain vs AutoGen
- LangChain vs Black Forest Labs
- LangChain vs Cartesia
- LangChain vs Deepgram
- LangChain vs Galileo
- 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
