← All comparisons
PerUnit vs LangSmith
LLM development and debugging
LangSmith is LangChain's platform for building and debugging LLM applications. It's built for developers: prompt versioning, chain tracing, evaluation datasets. PerUnit is built for business decisions: cost per customer, margin by tier, and whether your AI features are net profitable.
LangSmith website →Feature comparison
| Capability | PerUnit | LangSmith |
|---|---|---|
| Cost per customer | ||
| Cost by pricing tier (Free / Pro / Enterprise) | ||
| Cost by AI feature | ||
| Revenue vs. AI cost margin (Stripe integration) | ||
| Prompt and chain tracing | ||
| Dataset evaluation and regression testing | ||
| Works with non-LangChain stacks | ||
| Direct AI provider API sync (no pipelines) | ||
| No data engineering team required |
SupportedPartialNot available
When LangSmith is a better fit
- You're building with LangChain and need trace-level debugging
- You're running A/B tests on prompts or chains
- You need evaluation datasets and regression testing
- You're iterating on RAG pipelines or agent workflows
When PerUnit is a better fit
- You need cost attribution by customer, not by trace
- You're a founder or PM making pricing decisions
- You want to see AI spend vs revenue per account
- You use OpenAI/Anthropic directly (no LangChain required)
Need cost attribution, not just totals?
PerUnit breaks down your AI spend by customer, feature, and pricing tier — and connects it to revenue. $199 $99/mo early access.
Get early access to PerUnit