Braintrust vs Humanloop
Detailed side-by-side comparison to help you choose the right tool
Braintrust
🔴DeveloperLLM Observability
AI observability platform for evals, production tracing, prompt management, and regression detection.
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Starting Price
FreeHumanloop
🔴DeveloperLLM evaluation and governance
an LLM development platform for prompt management, evaluations, logging, and trustworthy AI product iteration; the homepage announces the team joining Anthropic.
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Starting Price
DiscontinuedFeature Comparison
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Braintrust - Pros & Cons
Pros
- ✓Evals, tracing, and prompt playground in a single shared workbench
- ✓Playground pulls real production traces in for side-by-side comparison
- ✓Regression detection across model swaps is a first-class workflow
- ✓Native integrations with the major SDKs (OpenAI, Anthropic, LangChain, Vercel AI)
- ✓MCP support makes tool traces structured spans rather than blobs
Cons
- ✗Jump from Free to $249/mo Pro is steep with limited middle tier
- ✗LLM-as-judge scorers require careful rubric design to be reliable
- ✗Opinionated workflow — friction if your team prefers fully custom pipelines
- ✗Self-host only on Enterprise
Humanloop - Pros & Cons
Pros
- ✓Pricing page lists a free starting point: 2 members, 50 eval runs, and 10K logs per month.
- ✓Enterprise features include SSO/SAML, role-based access controls, SLA support, and VPC deployment add-on.
- ✓Strong fit for teams that need prompt engineering, evaluations, logs, and trustworthy LLM app iteration.
Cons
- ✗Homepage announces the Humanloop team is joining Anthropic and says the platform is being sunset, so new buyers must verify availability.
- ✗Enterprise pricing is custom and likely requires sales engagement.
- ✗No MCP support was visible in fetched pages.
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