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Pricing sourced from Vellum · Last verified March 2026
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.
AI builders and operators use Vellum to streamline their workflow.
Try Vellum Now →LangSmith is LangChain's commercial observability, evaluation and prompt management platform for LLM apps and agents in production.
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