Braintrust vs Galileo
A side-by-side comparison of Braintrust and Galileo, drawn from Ignaite's continuously-verified listings.
Compared from listings verified as of
Galileo
ObservabilityEvaluation and observability for GenAI apps and agents, with inline guardrails.
View GalileoAt a glance
| Attribute | Braintrust | Galileo |
|---|---|---|
| Category (differs) | Eval | Observability |
| Pricing | FREEMIUM | FREEMIUM |
| License | Proprietary | Proprietary |
| Deployment | Cloud | Cloud |
| Platforms | Web, API | Web, API |
| Model support (differs) | BYO key / model | Model-agnostic |
| Vendor (differs) | Braintrust | Galileo |
The honest brief
Braintrust
Eval-first: prompts are versioned objects and CI scorers block a merge when quality regresses.
- Eval workflow as the primary interface
- CI scorers block merges on regression
- Dataset versioning + OTel tracing
- Generous free tier
- Closed-source SaaS
- Self-hosting needs Enterprise contract
- Overkill for tiny single-file eval needs
Galileo
Turns offline evals into real-time production guardrails powered by its own cheap Luna eval models, not an LLM judge.
- 20+ out-of-the-box evals for RAG and agents
- Inline runtime guardrails, not just offline scoring
- Own Luna models keep eval costs low
- Model-agnostic across providers
- Pricing tiers gate the production guardrails
- Proprietary eval models, not open source
- Heavier setup than a drop-in proxy