Helicone vs LangSmith
Detailed side-by-side comparison to help you choose the right tool
Helicone
🔴DeveloperAI observability
open-source LLM observability and gateway platform
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Starting Price
FreeLangSmith
🔴DeveloperAI Observability
LangSmith is LangChain’s LLM observability and evaluation platform for tracing, testing, monitoring, and improving AI agents.
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Starting Price
FreeFeature Comparison
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💡 Our Take
Choose Helicone if you want open-source, provider-agnostic observability with simple proxy integration starting at $20/seat/month. Choose LangSmith if you're already invested in the LangChain/LangGraph ecosystem and need tight framework integration with built-in evaluation harnesses. Helicone wins on price transparency and zero-code setup; LangSmith wins on agent debugging depth for LangChain users.
Helicone - Pros & Cons
Pros
- ✓Open-source positioning and one-line integration reduce adoption friction
- ✓Pricing is more transparent than many LLM observability tools
- ✓Combines observability and gateway controls in one product
Cons
- ✗Hobby plan limits retention to 7 days and ingestion to 10 logs/min
- ✗Advanced compliance and Slack support start at the $799/month Team tier
- ✗Teams needing deep eval workflows may still compare against Braintrust or Langfuse
LangSmith - Pros & Cons
Pros
- ✓Very strong fit for teams already building with LangChain or LangGraph because tracing, evals, prompts, and deployments sit in the same ecosystem.
- ✓The free Developer plan is useful for early projects because it includes up to 5k base traces per month rather than only a demo sandbox.
- ✓Supports both debugging workflows and production monitoring, so teams can use one system from prototype through release.
- ✓Enterprise deployment options include hybrid/self-hosted patterns for teams that cannot send sensitive traces to a hosted SaaS environment.
- ✓SDK coverage across Python, TypeScript, Go, and Java makes it workable outside a single framework choice.
Cons
- ✗The best experience is developer-oriented; product managers and analysts will usually need engineering help to instrument traces and evaluations well.
- ✗Costs can become usage-modeling work because seats, traces, Fleet runs, sandboxes, and model-provider charges are separate considerations.
- ✗It is naturally biased toward the LangChain ecosystem, which may be a drawback if your stack is built around a different observability standard.
- ✗The official /langsmith/pricing URL returned a 404 during this run, so pricing was verified from the alternate LangChain pricing page and should be rechecked before purchase.
- ✗Self-hosting, custom SSO/RBAC, and formal support SLA are Enterprise items rather than default features on the $39 Plus plan.
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