LangSmith Pricing (2026)
It's a hybrid model stacking three dimensions: per-seat ($39/seat/mo on Plus), compute usage (LCUs at $1.50 each), and storage usage (LSUs at $1.00 each). You're essentially paying for how much you run, how much you store, and how many people need access — which means costs can compound fast on active teams.
- Developer
- $0/mo
- Plus
- $39/mo
- Enterprise
- Contact Sales
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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
AI Pricing Analysis
Pricing Model
It's a hybrid model stacking three dimensions: per-seat ($39/seat/mo on Plus), compute usage (LCUs at $1.50 each), and storage usage (LSUs at $1.00 each). You're essentially paying for how much you run, how much you store, and how many people need access — which means costs can compound fast on active teams.
Tier Strategy
Developer is a solo sandbox — no deployment, no Engine, no real team features. The jump to Plus happens the moment you need collaborators or want to keep traces longer than 14 days; Enterprise kicks in when you need custom SSO, annual invoicing, or negotiated rates at scale.
Competitive Positioning
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.
Growth Lever
Trace retention is the quiet hook — 14 days on free pushes any team doing serious debugging or evals to upgrade fast. Beyond that, seat count and LCU/LSU consumption are the natural expansion drivers, meaning a growing eng team running frequent traces will see their bill climb on multiple axes simultaneously.
Want the strategist's read on the live page? Read the AI teardown of LangSmith's pricing page →
LangSmith Pricing FAQ
- How much does LangSmith cost?
- Paid plans start at $39/mo. There's also an Enterprise tier with custom pricing. You can get started on the free plan before committing.
- Is there a free plan?
- Yes. The "Developer" plan is free forever, not just a trial. You get up to 5k base traces / mo, then pay-as-you-go, community support, 1 seat — plus 26 more features. It's enough to evaluate the product before upgrading.
- Can I try it before paying?
- There's no trial per se, but the free plan lets you use the product indefinitely with some limits.
- How does the pricing work?
- It's a hybrid model stacking three dimensions: per-seat ($39/seat/mo on Plus), compute usage (LCUs at $1.50 each), and storage usage (LSUs at $1.00 each). You're essentially paying for how much you run, how much you store, and how many people need access — which means costs can compound fast on active teams.
- Is there a discount for annual billing?
- Discounted rates and credits for VC-backed startups via LangSmith for Startups program.
- Which plan makes sense for me?
- Developer is a solo sandbox — no deployment, no Engine, no real team features. The jump to Plus happens the moment you need collaborators or want to keep traces longer than 14 days; Enterprise kicks in when you need custom SSO, annual invoicing, or negotiated rates at scale.
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