Cohere 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.
North
- Intuitive interface
- Purpose-built generative models
- Intelligent search
- AI agents for routine tasks and complex workflows
Compass
- Pre-built data connectors
- Intelligent search
- Document parsing
- Managed index
Model Vault
- Fully managed model deployment
- No shared resources or multi-tenancy overhead
- Seamless integration with Cohere North
- Simple startup and self-serve model access
- Fixed or Flex pricing plans available
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
Cohere vs LangSmith FAQ
- Which one is cheaper?
- One or both use custom pricing, so it depends on your specific needs.
- Can I use either one for free?
- LangSmith has a free plan. Cohere doesn't — though they do offer a free trial.
- How do they charge?
- Different approach here. Cohere uses custom 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. Cohere: Cohere is squarely targeting enterprise and developer teams that can't or won't send data to OpenAI or Anthropic — data residency, security, and deployment flexibility are the pitch. They're not the cheapest option, but they're positioning as the serious infrastructure play for regulated industries and large orgs that need control. 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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