Paid tool

Vellum

Enterprise platform to build, evaluate, and deploy production-grade AI applications.

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Intro

What is Vellum?

Vellum AI is an enterprise-grade development platform designed to take AI products from early-stage concepts to production-ready features. It provides technical teams with a unified workspace for prompt engineering, semantic document retrieval, and complex orchestration. Engineers and product teams use Vellum to evaluate model quality, manage live deployments, and track real-time performance. When figuring out the best LLM for coding or reasoning tasks, developers leverage Vellum's built-in tools to benchmark performance across various foundational models, keeping an eye on the latest industry data via their integrated LLM leaderboard and real-time LLM benchmarks.

Vellum at a glance
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Pricing

Vellum Pricing Plans

Compare Vellum free options, Vellum paid pricing plans, and usage notes before you choose the best way to use this AI tool in 2026.

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Pricing updated:Jun 11, 2026

Features

Vellum AI Features

Visual Builder and Expressive SDK with bi-directional code-UI syncComprehensive LLM evaluations using custom metrics or LLM-as-a-judgeOut-of-the-box RAG and document retrieval UIs/APIs for unstructured dataOne-click deployments to decouple AI updates from application releasesProduction observability to track inputs, outputs, costs, and execution traces
Pros & Cons

Vellum Pros and Cons

Pros

  • Accelerates production timelines, allowing rapid prototyping and validation
  • Seamless collaboration via bi-directional sync between code and a visual GUI
  • Robust enterprise security with SOC 2 compliance, HIPAA compliance, and VPC support
  • Reduces production latency and handles massive monthly request scales reliably

Limitations

  • Pricing plans are not transparently listed on the public landing page
  • Requires booking a live demo or contacting sales to get started with enterprise options

Vellum FAQ

Vellum offers a comprehensive playground and native evaluations where you can benchmark prompts across closed-source, open-source, or self-hosted models. Teams can cross-reference their internal performance tests with Vellum's public LLM leaderboard to analyze shifting trends across top providers.