LangfuseOpen Source Agent Evals & Observability
vs
LokiObservability
Comparison · Observability · weekly run Nov 3
Langfuse vs Loki
Which one do AI engines recommend, and how do they differ on price, fit and features?
The short answer
Loki is the stronger AI pick in Observability: it has a visibility score of 12 versus 1.4 for Langfuse.
Choose Langfuse if…
- AI answers describe it more positively (50% vs 7% positive)
- You need a self-hosted or on-premises option
- You need SOC 2 Type II or ISO 27001 or HIPAA-ready region coverage
- Discounted cloud pricing for qualifying early-stage startups
Choose Loki if…
- You want the brand AI engines rank higher (12 vs 1.4)
- You need SOC 2 or ISO/IEC 27001 or ISO 22301 or PCI DSS v4.0.1 or TISAX or CSA STAR or FedRAMP High or TX-RAMP Level 2 coverage
- Open-source, standards-driven telemetry stack
- Composable dashboards and data visualization
AI visibility side by side
Latest weekly run · Nov 3
| Metric | Langfuse | Loki |
|---|---|---|
| Visibility score | 1.4% | 12% |
| Change vs last week | New | New |
| Rank in Observability | #27 | #11 |
| Share of voice | 0.4% | 4.7% |
| Mentions this run | 2 | 27 |
| Positive in AI answers | 50% | 7% |
The stronger value in each row is marked with a ✓.
Visibility score trend
Weekly runs over the last 60 days
Langfuse 0pp · Loki 0pp over 0 weekly runs.
Engine by engine
Loki leads on 2 of 3 engines
ChatGPT
AI Mode
Perplexity
LangfuseLoki
Head to head in AI answers
0 engine answers name both brands
0Langfuse ranked higher
0Loki ranked higher
Features, pricing & fit
| Dimension | Langfuse | Loki |
|---|---|---|
| Pricing model | Usage-based | — |
| Entry price | Free; paid from $29 / mo | — |
| Free plan | Yes | — |
| Deployment | Langfuse Cloud in US, EU, Japan and HIPAA regions, or self-hosted under the MIT license | Self-hosted or through Grafana Cloud |
| Integrations | 100+ | — |
| Compliance | SOC 2 Type II, ISO 27001, HIPAA-ready region, GDPR | SOC 2, ISO/IEC 27001, ISO 22301, PCI DSS v4.0.1, GDPR, TISAX, CSA STAR, FedRAMP High, TX-RAMP Level 2 |
| Support | Community support via GitHub, In-app support, Private Slack or MS Teams channel on Pro and Enterprise plans, Named lead support engineer on Enterprise plans | — |
| Founded | — | 2018 |
| Headquarters | — | New York, NY |
| Employees | — | 1,001–5,000 |
| Funding | Seed · $4M raised | Series E · $660M raised |
| Best for | Engineering teams building LLM applications and AI agents that want open-source, self-hostable tracing and evaluation | — |
Plans side by side
Loki
Pricing not available.
Pros and cons
Themes from the AI answers that mention each brand
Langfuse
- Discounted cloud pricing for qualifying early-stage startups
- Well suited to evaluating and debugging LLM or agent behavior
Loki
- Open-source, standards-driven telemetry stack
- Composable dashboards and data visualization
- Built natively around OpenTelemetry
- Managed cloud offering with a permanent free tier
- Cost-effective compared with licensed platforms
- Requires internal engineering time to maintain, configure, and scale
- Ongoing infrastructure, storage, and maintenance costs
Data collected ·ChatGPT, Perplexity, Google AI Mode·coverage 100%·next run
Cite as: SlateIndex, “Langfuse vs Loki”, https://slateindex.ai/compare/langfuse-vs-loki, data of Nov 3, 2026. Licence: CC BY 4.0.