HoneyHive vs LangSmith (2026)
Updated March 9, 2026
vs
Overview
Rating
10.0 / 10
Rating
10.0 / 10
Best For
Enterprise teams managing prompts and running evals
Best For
Teams building agents on LangChain or LangGraph who want tracing, evals, and deployment from one vendor
Product Summary
Prompt management + regression evals in one platform. SOC 2 compliant with annotation queues.
Product Summary
LangSmith is LangChain's platform for tracing, evaluating, and deploying AI agents. Compare its features, pricing, pros and cons, and alternatives.
Starting Price
paid
Starting Price
Free
Free Trial
No
Free Trial
Yes
Free Version
No
Free Version
Yes
Website
Website
Key features
Core capabilities each platform advertises.
- Prompt management
- Regression testing
- SOC 2
- Annotation queues
- Native tracing for LangChain and LangGraph
- OpenTelemetry and multi-language SDKs
- Offline and online evaluations
- Annotation queues and datasets
- Prompt Hub with versioning
Strengths and tradeoffs
What each tool does well, and the limitations to keep in mind.
Pros
- Comprehensive observability with OpenTelemetry-native distributed tracing across 100+ LLMs and frameworks
- Strong security and compliance (SOC 2 Type II, GDPR, HIPAA) with flexible deployment options
- Built-in evaluation tools with 25+ pre-built evaluators and human review workflows
- Centralized prompt versioning with Git-native version control and GitOps workflows
- Session replay and multi-agent system visualization for debugging complex AI applications
Cons
- Pricing information not transparently available on website
- May have steep learning curve for teams new to AI observability
- Enterprise-focused features may be overkill for smaller projects
Pros
- Native LangChain and LangGraph tracing with no extra instrumentation
- Evals, datasets, and annotation queues sit in the same workspace as traces
- Tracing, deployment, and sandboxes from one vendor
- Framework-agnostic SDKs and OpenTelemetry support
Cons
- Per-seat pricing on Plus, and the free plan allows one seat
- 14-day base retention, with longer retention billed at a higher rate
- LLM Gateway is still in beta
- Self-hosting and hybrid deployment are Enterprise only
HoneyHive or LangSmith — which should you choose?
Choose HoneyHive if you wantChoose if you want
Data not available
Choose LangSmith if you wantChoose if you want
- Debugging LangChain and LangGraph agents
- Evaluating agent output against datasets
- Human review through annotation queues
- Deploying long-running agents
Compare HoneyHive and LangSmith on your own traffic
10KFree traces/mo
1,000+Models
5 minSetup
Respan lets you trace LLM and agent calls across any model or framework, A/B test prompts on production traffic, and route requests across 1,000+ models through one gateway.
Try Respan free