Vellum AI vs LangSmith

Side-by-side comparison of pricing, features, and capabilities — 2026.

Tool A
Vellum AI
Freemium

AI development platform for building, testing, and deploying LLM workflows.

Try Vellum AI
VS
Tool B
LangSmith
Freemium

LangSmith is LangChain's production monitoring, testing, and debugging platform for LLM applications, providing the observability layer that AI teams need to build reliable AI products. It captures every LLM call, agent action, and chain execution with full context, enabling developers to trace failures, compare model outputs, run regression tests, and monitor production performance in real-time. LangSmith integrates seamlessly with LangChain and LangGraph but also works with any LLM framework, making it the standard choice for teams that need confidence in their AI application quality.

Try LangSmith

Feature Comparison

FeatureVellum AILangSmith
Pricing
Freemium
Freemium
Free Plan
Verified
Featured
Categories
LLM, Developer Tools
Developer Tools, LLM

Key Features Comparison

FeatureVellum AILangSmith
LLM application development platform
Prompt management and versioning
A/B testing for prompts
Evaluation workflows
Workflow orchestration
Team collaboration
Full trace capture for all LLM calls
Regression testing workflows
Production performance monitoring
Human evaluation tools
LangChain native integration

Use Cases Comparison

Use CaseVellum AILangSmith
Managing LLM prompts in production
Testing and improving AI responses
LLM application deployment
AI team collaboration
Debugging LLM application failures
Production AI monitoring
LLM regression testing
Team collaboration on AI quality

Similar In These Categories

Vellum AI vs LangSmith: Which Should You Choose?

Vellum AI is a freemium tool (verified by our team). AI development platform for building, testing, and deploying LLM workflows.

LangSmith is a freemium tool. LangSmith is LangChain's production monitoring, testing, and debugging platform for LLM applications, providing the observability layer that AI teams need to build reliable AI products. It captures every LLM call, agent action, and chain execution with full context, enabling developers to trace failures, compare model outputs, run regression tests, and monitor production performance in real-time. LangSmith integrates seamlessly with LangChain and LangGraph but also works with any LLM framework, making it the standard choice for teams that need confidence in their AI application quality.

The right choice depends on your budget and specific needs. Both are listed in Nextool.ai's curated directory. See all Vellum AI alternatives or See all LangSmith alternatives.