Side-by-side

Vellum vs Langfuse

VellumLangfuse

Bottom line: Vellum for teams wanting an all-in-one build-evaluate-deploy platform; Langfuse for teams wanting open-source LLM observability.

	Vellum Build, evaluate, and deploy LLM apps and agents with confidence. Visit	Langfuse Open-source LLM observability and evaluation Visit
Votes	0	0
Pricing	Freemium	Freemium
Category	Coding	Coding
Tags	llmopsai-agentsprompt-engineeringevaluationworkflow	llm-observabilityopen-sourcetracingevaluationprompt-management
Best for	Teams wanting an all-in-one build-evaluate-deploy platform Cross-functional groups with technical and non-technical members Regulated sectors needing VPC or HIPAA options	Teams wanting open-source LLM observability Data-sensitive teams needing self-hosting Prompt and evaluation workflows
Pros	Combines prompt, workflow, evaluation, and deployment in one platform Visual workflow builder lowers the barrier for cross-functional collaborators Solid evaluation and testing tooling for pre-production quality gates Multi-provider model support avoids lock-in Free tier lets teams trial without a credit card	Open source with nearly all features MIT-licensed Self-host the full product free, no seat or usage caps Framework-agnostic (works with or without LangChain) Strong tracing, prompt management, and evaluation Managed cloud with a free tier available
Cons	Pricing is opaque and sales-led, making budgeting hard Not open source, and self-hosting is locked to Enterprise Free tier is quite limited in credits, documents, and seats Smaller company and funding than infrastructure incumbents Frequent repositioning can mean shifting product focus	Self-hosting still requires running infrastructure Enterprise compliance features are commercial Cloud Pro tier jumps significantly in price Focused on observability, not app building Analytics depth may need tuning for large scale

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