Compare Vellum with top alternatives in the testing & quality category. Find detailed side-by-side comparisons to help you choose the best tool for your needs.
These tools are commonly compared with Vellum and offer similar functionality.
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LangSmith is LangChain's commercial observability, evaluation and prompt management platform for LLM apps and agents in production.
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an LLM development platform for prompt management, evaluations, logging, and trustworthy AI product iteration; the homepage announces the team joining Anthropic.
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Prompt CMS and observability for LLM apps: version, track, evaluate, and collaboratively edit prompts with non-engineer-friendly UI.
LLM Observability
AI observability platform for evals, production tracing, prompt management, and regression detection.
LLM Gateway & Observability
Production AI control plane: AI gateway, prompt management, observability, guardrails, and MCP gateway in front of 1,600+ LLM providers.
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dbt Labs provides an open standard for SQL-based data transformation, testing, lineage, and deployment. It helps teams build trusted, governed, AI-ready data pipelines across modern data platforms.
💡 Pro tip: Most tools offer free trials or free tiers. Test 2-3 options side-by-side to see which fits your workflow best.
Vellum is an LLM development platform used by engineering teams to build, test, evaluate, and deploy production AI applications. It provides prompt engineering tools, automated evaluation pipelines, a visual workflow builder, and deployment management with version control and monitoring.
Yes, Vellum is model-agnostic and supports major LLM providers including OpenAI, Anthropic, Google, and others. Teams can compare outputs across models side by side in the playground and switch providers in production without rebuilding application logic.
Yes, Vellum provides a REST API and SDKs for Python and TypeScript. The API allows teams to execute prompts and workflows programmatically, manage deployments, submit evaluation data, and integrate Vellum into CI/CD pipelines.
Yes, Vellum is SOC 2 Type II certified. Enterprise plans also offer HIPAA compliance, SSO/SAML authentication, and configurable data retention policies for regulated industries.
Both platforms serve the LLMOps space but with different emphases. Vellum provides a more integrated prompt-to-deployment workflow with visual workflow building and managed deployment infrastructure. LangSmith, built by the LangChain team, focuses more on tracing and observability for LangChain-based applications. The best choice depends on your existing tech stack and whether you prioritize visual workflow building or deep LangChain integration.
Yes, Vellum offers a free tier that includes 100,000 monthly prompt executions, playground access with multi-model comparison, basic evaluation with up to 5 test suites, and support for up to 3 users. The Pro tier starts at $89/seat/month for teams needing higher limits and advanced features, while Enterprise plans with HIPAA compliance and SSO are custom-priced.
Compare features, test the interface, and see if it fits your workflow.