Vellum vs Braintrust: which AI eval / prompt-mgmt platform wins in 2026?
Vellum wins on visual prompt building, deployment management, and lower-friction non-engineer UX. Braintrust wins on dataset-first evals, programmatic prompt experiments, and Anthropic-internal credibility. Pick Vellum for cross-team prompt workflows, Braintrust for engineer-led eval pipelines.
At a glance
| Dimension | Vellum | Braintrust |
|---|---|---|
| Primary persona | PM + engineer + cross-team | Engineer + ML |
| Prompt UI | Visual builderWIN | Code + UI |
| Dataset / golden set workflow | Yes | First-class — dataset is the unitWIN |
| Eval scorers | LLM judge + custom | LLM judge + custom + custom codeWIN |
| Experiment runs | Yes | Best-in-class diff + A/BWIN |
| Deployment / versioning | Yes — deploy prompts as endpointsWIN | Versioning + APIs |
| BYO LLM | Yes | Yes |
| Self-host | Enterprise tier | BYO Cloud + self-hostWIN |
| Pricing | Per-seat + usage | Free tier + usageWIN |
| Best for | Cross-team prompt workflows, non-engineer-friendly | Engineer eval pipelines, dataset-first, Anthropic-credible |
Verdict
Vellum is the right pick for cross-team prompt workflows where PMs / domain experts edit prompts + engineers deploy them — visual builder + deployment management is lower-friction for non-engineers. Braintrust is the right pick for engineer-led eval pipelines — dataset-first model, experiment diffs, used by Anthropic internally. Many teams use both: Vellum for cross-team authoring, Braintrust for the eval gate in CI.
When to pick which
Pick Vellum
Cross-team prompt workflows, non-engineer-friendly visual builder, deployment management.
Pick Braintrust
Engineer eval pipelines, dataset-first, experiment diffs, Anthropic-credible.
FAQ
Cross-team prompt authoring?
Vellum — visual builder is non-engineer-friendly.
Dataset-first evals?
Braintrust — dataset is the core unit.
Self-host?
Both — Braintrust has BYO Cloud, Vellum enterprise tier.
Last updated: 2026-06-01.