CrewAI vs LangChain
On the evidence we track, LangChain leads this comparison with a composite score of 81/100. Scores are only directly comparable because these tools share a category; the full breakdown and every source is below.
Capabilities
Feature-by-feature on the axes that matter for mlops & llmops tools. “-” means undocumented, not absent.
What each one is
The product in its own terms, so the numbers below have context.
CrewAI
A comprehensive platform combining an open-source Python framework for multi-agent workflows with a managed cloud control plane that adds governance, security, tracing, and deployment capabilities for enterprise production use.
LangChain
LeaderLangSmith provides observability through tracing to debug agent behavior, evaluation capabilities to test and score agents with human review and automated assessments, and deployment services to run agents at scale.
Pricing
List pricing as published by each vendor, with the date we read it. Always verify at the source before you buy.
CrewAI
Free tier (Basic) with 50 executions/month; Enterprise custom pricing with governance and compliance
- BasicFree
- Visual editor and AI copilot
- GitHub integration
- 50 workflow executions/month
- Studio (visual editor)
- Standard tools and triggers
- +20 more
- EnterpriseContact sales
- All Basic features, plus:
- Enterprise connectors
- SSO (MS Entra, Okta)
- Role-based access control (RBAC)
- Workload identity
- +13 more
LangChain
LeaderFree Developer plan (5k traces). Plus plan $39/seat/month. Enterprise custom. Usage-based pricing for compute (LCU=$1.50) and storage (LSU=$1.00).
- DeveloperFree
- 1 free seat
- 5k base traces/month
- Tracing and analytics
- Access to LangSmith platform
- Plus$39/seat/month + usage (LCU/LSU), 10k traces included, 1 free small deployment
- Unlimited seats
- 10k base traces/month
- 1 free small serverless deployment
- Full tracing and analytics
- Evaluation tools
- EnterpriseContact sales
- Advanced administration
- Dedicated support
- Custom deployments
- White-glove onboarding
- Proactive monitoring
- +1 more
Platform & deployment
Where each product runs and how it can be hosted. A dash means undocumented, not unsupported.
Integrations
What each product connects to. Counts come from the vendor's own integration directory where one exists.
- Anthropic
- OpenAI
CrewAI
- NVIDIA NIM
- GitHub
- Slack
- Microsoft Teams
- Arize
- Galileo
- DataDog
- Patronus
- IBM Db2
- OpenTelemetry
- LiteLLM
- E2B
- Daytona
- AWS Bedrock
- Ollama
- Model Context Protocol
- SerperDev
LangChain
Leader- Cohere
- Azure OpenAI
- Azure AI Search
- Microsoft Fabric
- Azure Kubernetes Service
- OpaquePrompts
Comparison generated from independently-sourced facts. Every value links to its source and retrieval date. See the method.