Braintrust vs Langfuse
A side-by-side look at scores, pricing and features — with RECATOOLS' ASEAN-aware verdict for each.
Braintrust
Evals and production tracing for teams shipping AI agents
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Langfuse
Open-source LLM observability, tracing and evals
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| RECATOOLS Score | 7.5 / 10 | 8.4 / 10 |
| Capability | ||
| Value for money | ||
| Ease of use | ||
| ASEAN readiness | ||
| API quality | ||
| Pricing | Freemium | Freemium |
| Free tier | Starter: $0 a month, unlimited users, $10 of model credits, 1 GB processed data, 10k scores, 14-day retention; no credit card | Self-host free under MIT (enterprise modules need a key); cloud Hobby plan free with 50k units/month, 30 days data access, 2 users |
| Paid from | $249/month (Pro, $100 of model credits) plus metered data and scores | $29/month (Langfuse Cloud Core) |
| Has API | ✓ | ✓ |
| Open source | ✗ | ✓ |
| Free to use | ✓ | ✓ |
| Users | — | — |
| Founded | 2023 | 2023 |
| Maker | — | ClickHouse, Inc. |
| Verdict | Braintrust has the most complete trace-to-dataset-to-experiment loop we have seen for teams that treat evaluation as engineering. Loop drafts scorers and datasets, Patterns surfaces recurring production failures, and Bra... |
Langfuse covers the core of LLM observability: nested traces with cost and latency, prompt versioning, datasets, experiments and LLM-as-judge evaluators, through framework-agnostic SDKs and OpenTelemetry. The MIT core se... |
| Full review → | Full review → |
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Comparisons cover up to 4 tools. Scores are RECATOOLS editorial assessments; verify current pricing on each vendor's site.