LangSmith vs Helicone
Detailed side-by-side comparison to help you choose the right tool
LangSmith
π΄DeveloperAI Observability
LangSmith is LangChainβs LLM observability and evaluation platform for tracing, testing, monitoring, and improving AI agents.
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Starting Price
FreeHelicone
π΄DeveloperAI observability
open-source LLM observability and gateway platform
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FreeFeature Comparison
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π‘ Our Take
Choose LangSmith if you need deep evaluation tooling, prompt versioning, and hierarchical agent traces tied to the LangChain ecosystem. Choose Helicone if you primarily need a lightweight proxy-based observability layer for OpenAI/Anthropic API calls with caching and rate limiting, and want simpler setup at a lower starting price.
LangSmith - Pros & Cons
Pros
- βVery strong fit for teams already building with LangChain or LangGraph because tracing, evals, prompts, and deployments sit in the same ecosystem.
- βThe free Developer plan is useful for early projects because it includes up to 5k base traces per month rather than only a demo sandbox.
- βSupports both debugging workflows and production monitoring, so teams can use one system from prototype through release.
- βEnterprise deployment options include hybrid/self-hosted patterns for teams that cannot send sensitive traces to a hosted SaaS environment.
- βSDK coverage across Python, TypeScript, Go, and Java makes it workable outside a single framework choice.
Cons
- βThe best experience is developer-oriented; product managers and analysts will usually need engineering help to instrument traces and evaluations well.
- βCosts can become usage-modeling work because seats, traces, Fleet runs, sandboxes, and model-provider charges are separate considerations.
- βIt is naturally biased toward the LangChain ecosystem, which may be a drawback if your stack is built around a different observability standard.
- βThe 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.
- βSelf-hosting, custom SSO/RBAC, and formal support SLA are Enterprise items rather than default features on the $39 Plus plan.
Helicone - Pros & Cons
Pros
- βOpen-source positioning and one-line integration reduce adoption friction
- βPricing is more transparent than many LLM observability tools
- βCombines observability and gateway controls in one product
Cons
- βHobby plan limits retention to 7 days and ingestion to 10 logs/min
- βAdvanced compliance and Slack support start at the $799/month Team tier
- βTeams needing deep eval workflows may still compare against Braintrust or Langfuse
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