Copy.ai 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.

Copy.ai LangSmith
Starts at $29/mo $39/mo
Number of plans 5 3
Free plan
Free trial
Pricing model per-seat hybrid

Chat

$29/mo
  • 5 Seat
  • Unlimited Words in Chat
  • Unlimited Chat Projects
  • Access to OpenAI, Anthropic, and Gemini models

Growth

$1000/mo
  • 75 Seats
  • Unlimited Words in Chat
  • 20K Workflow Credits/Mo

Expansion

$2000/mo
  • 150 Seats
  • Unlimited Words in Chat
  • 45K Workflow Credits/Mo

Scale

$3000/mo
  • 200 Seats
  • Unlimited Words in Chat
  • 75K Workflow Credits/Mo

Enterprise

Custom
  • Guided Jumpstart Implementation
  • API Access & Bulk Workflow Runs
  • 20+ Tech Integrations & API Access
  • Unlimited Customizable Workflows
  • Designated Account & Support Team
  • Enterprise Grade Security Protocols

Developer

$0/mo
  • 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

$39/mo
  • 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

Custom
  • 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

Copy.ai vs LangSmith FAQ

Which one is cheaper?
Copy.ai starts lower at $29/mo, compared to $39/mo for LangSmith.
Can I use either one for free?
LangSmith has a free plan. Copy.ai doesn't — you'll need to pay from day one.
How do they charge?
Different approach here. Copy.ai uses per-seat 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. Copy.ai: They're not competing on price — $12K/yr to start on team plans puts them squarely in the mid-market SaaS budget conversation, closer to Jasper Business or Writer than to cheap AI writing tools. They're clearly targeting revenue teams at growth-stage and enterprise companies, not freelancers or SMBs. 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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