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Freeplay vs Vellum

A side-by-side comparison of Freeplay and Vellum, two Eval tools, drawn from Ignaite's continuously-verified listings.

Compared from listings verified as of

Freeplay

Eval

Eval and observability ops platform for AI product teams.

View Freeplay

Vellum

Eval

Build, evaluate, and deploy production LLM apps and agents.

View Vellum

At a glance

Feature comparison of Freeplay and Vellum
AttributeFreeplayVellum
CategoryEvalEval
Pricing (differs)PAIDFREEMIUM
LicenseProprietaryProprietary
DeploymentCloudCloud
PlatformsWeb, APIWeb, API
Model support (differs)Model-agnosticMulti-model
Vendor (differs)FreeplayVellum

The honest brief

Freeplay

Brings engineers, PMs, and domain experts into one eval + observability loop reviewing the same traces, not separate dev-only tooling.

  • Unifies prompt mgmt, evals, and monitoring
  • Aligns auto-evaluators with human labels
  • Model-graded, code-based, and human evals
  • SDKs for Python, Node, and JVM languages
  • Paid plans start around $500/mo
  • Built for teams, not solo hobbyists
  • Newer and smaller than some incumbents

Vellum

Passes model token costs straight through at cost, so the platform fee is unbundled from usage — unlike marked-up LLMOps tools.

  • Visual builder plus Python SDK
  • Prompt, RAG, eval, monitoring in one
  • Eval and test suites before/after deploy
  • Non-technical collaborators supported
  • Free tier available
  • Cloud-only platform
  • Breadth over best-in-class depth
  • Seat costs at Pro/Enterprise
  • Lock-in to its workflow model