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
At a glance
| Attribute | Freeplay | Vellum |
|---|---|---|
| Category | Eval | Eval |
| Pricing (differs) | PAID | FREEMIUM |
| License | Proprietary | Proprietary |
| Deployment | Cloud | Cloud |
| Platforms | Web, API | Web, API |
| Model support (differs) | Model-agnostic | Multi-model |
| Vendor (differs) | Freeplay | Vellum |
| Capabilities (differs) |
|
|
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
When to pick which
Freeplay leans on LLM observability as a headline capability; Vellum treats it as secondary.
- LLM observability (primary capability)
They also differ on:
- Pricing
- PAID · FREEMIUM
Their capability lists differ in recorded depth — compare the full lists above before deciding.