Comet vs LangSmith Pricing (2026)
How do these two stack up on price? Here's what each one costs, what you get, and where the value sits.
Open Source
- Full AI observability & agent testing feature set
- True OSS: same codebase as the hosted versions
- Agent tracing & analysis
- Test Suites & assertions
- Agent Playground
Free Cloud
- Up to 10 team members
- 25k spans per month
- 60-day data retention
- Agent tracing & analysis
- Test Suites & assertions
- Agent Playground
- Ollie coding harness trial
Pro Cloud
Popular- Up to 50 team members
- 100k spans per month
- 60-day data retention
- Customizable monthly span limits
- Customizable data retention periods
Enterprise
- Unlimited team members
- Custom usage plans
- Flexible deployments
- Service accounts and view-only users
- Single sign-on
- Dedicated support and SLAs
- SOC 2, ISO 27001, ISO 9001, HIPAA, and GDPR compliance
Developer
- Up to 5k base traces / mo, then pay-as-you-go
- Community support
- 1 seat
- Tracing
- Monitoring
- Insights
- Online and offline evals
- Dataset collection
- Annotation queue (human feedback)
- Prompt Hub and Playground
- Bulk data export
- Unlimited agents
- LangSmith Studio
- Expose agent as MCP server
- Real-time streaming of intermediary steps and final output
- Agent Authorization (beta)
- Access to prebuilt templates
- Add tools with a remote MCP server
- Trigger agent via API
- Use LangChain models
- Auth proxy with custom callbacks
- Bring your own image
- Configurable TTLs
- Snapshot and fork to explore parallel branches
- Port tunneling to your local machine
- Sandbox CLI
- Scale to 1000s on demand
- Platform hosting option(s): Cloud
- Community Forum
Plus
- Up to 10k base traces / mo, then pay-as-you-go
- Access to Deployment, Engine, and more
- Add unlimited seats
- Tracing
- Monitoring
- Insights
- Online and offline evals
- Dataset collection
- Annotation queue (human feedback)
- Prompt Hub and Playground
- Bulk data export
- Unlimited agents
- LangSmith Studio
- Expose agent as MCP server
- Real-time streaming of intermediary steps and final output
- Agent Authorization (beta)
- 1-Click Deploy
- Horizontally-scalable service for dedicated deployments
- Server Scale-to-Zero when idle
- Assistants API
- 30+ API endpoints including state and memory
- Cron scheduling
- Authentication & authorization for LangGraph APIs
- Access to prebuilt templates
- Add tools with a remote MCP server
- Trigger agent via API
- Use LangChain models
- Share and clone agent templates
- Unlimited agents
- Monitor traces autonomously
- Cluster agent behavior into issues
- Diagnose code failures
- Recommend fixes to prompts and code
- Create datasets for human review
- Create offline and online evals to prevent repeated failures
- Auth proxy with custom callbacks
- Bring your own image
- Configurable TTLs
- Snapshot and fork to explore parallel branches
- Port tunneling to your local machine
- Sandbox CLI
- Scale to 1000s on demand
- Platform hosting option(s): Cloud
- SSO
- Role-Based Access Control
- Organization Roles (User and Admin)
- Community Forum
- Support Portal
- Email Support
Enterprise
- Self-hosted and hybrid deployment options
- Custom SSO and RBAC
- Support SLA
- Custom seats and workspaces
- Tracing
- Monitoring
- Insights
- Online and offline evals
- Dataset collection
- Annotation queue (human feedback)
- Prompt Hub and Playground
- Bulk data export
- Unlimited agents
- LangSmith Studio
- Expose agent as MCP server
- Real-time streaming of intermediary steps and final output
- Agent Authorization (beta)
- 1-Click Deploy
- Horizontally-scalable service for dedicated deployments
- Server Scale-to-Zero when idle
- Assistants API
- 30+ API endpoints including state and memory
- Cron scheduling
- Authentication & authorization for LangGraph APIs
- Access to prebuilt templates
- Add tools with a remote MCP server
- Trigger agent via API
- Use LangChain models
- Share and clone agent templates
- Unlimited agents
- Monitor traces autonomously
- Cluster agent behavior into issues
- Diagnose code failures
- Recommend fixes to prompts and code
- Create datasets for human review
- Create offline and online evals to prevent repeated failures
- Auth proxy with custom callbacks
- Bring your own image
- Configurable TTLs
- Snapshot and fork to explore parallel branches
- Port tunneling to your local machine
- Sandbox CLI
- Scale to 1000s on demand
- Platform hosting option(s): Cloud, Hybrid, or Self-Hosted
- SSO
- Role-Based Access Control
- Organization Roles (User and Admin)
- Community Forum
- Support Portal
- Email Support
- Slack
- Team trainings
- Architectural guidance for your applications
- Access to deployed engineers
- SLA
- Custom Terms
- Infosec Review
Comet vs LangSmith FAQ
- Which one is cheaper?
- Comet starts lower at $19/mo, compared to $39/mo for LangSmith.
- Can I use either one for free?
- Both offer free plans, so you can try each without paying. Start with whichever fits your workflow better and upgrade when you hit the limits.
- How do they charge?
- Different approach here. Comet uses usage-based pricing, while LangSmith goes with hybrid. That changes the math depending on your team size and usage.
- Which one is a better deal?
- Depends on what you need. Comet: At $19/mo entry, they're positioning as the accessible alternative to heavier MLOps platforms — clearly going after teams that find tools like Weights & Biases or Arize too expensive or too complex for pure LLM tracing use cases. The academic free Pro tier signals they're also playing a long game on developer mindshare. LangSmith: At $39/seat they're not trying to be the cheapest LLM observability tool, but they're not swinging for premium either — it's a mid-market entry point aimed squarely at well-funded startups and growth-stage teams already in the LangChain ecosystem. The Startups program signals they're prioritizing ecosystem lock-in over near-term revenue.
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