Langfuse vs OpenTelemetry
Which one do AI engines recommend, and how do they differ on price, fit and features?
The short answer
OpenTelemetry is the stronger AI pick in Observability: it has a visibility score of 37.4 versus 1.4 for Langfuse, and ranks ahead in 0% of the answers that name both.
Choose Langfuse if…
- You need a self-hosted or on-premises option
- You need SOC 2 Type II or ISO 27001 or HIPAA-ready region or GDPR coverage
- Discounted cloud pricing for qualifying early-stage startups
- Well suited to evaluating and debugging LLM or agent behavior
Choose OpenTelemetry if…
- You want the brand AI engines rank higher (37.4 vs 1.4)
- You need more native integrations (1151+ vs 100+)
- AI answers describe it more positively (62% vs 50% positive)
- Native OpenTelemetry support across observability platforms
AI visibility side by side
Latest weekly run · Nov 3
| Metric | Langfuse | OpenTelemetry |
|---|---|---|
| Visibility score | 1.4% | 37.4% |
| Change vs last week | New | New |
| Rank in Observability | #27 | #5 |
| Share of voice | 0.4% | 8.2% |
| Mentions this run | 2 | 49 |
| Positive in AI answers | 50% | 62% |
The stronger value in each row is marked with a ✓.
Visibility score trend
Weekly runs over the last 60 days
Langfuse 0pp · OpenTelemetry 0pp over 0 weekly runs.
Engine by engine
OpenTelemetry leads on 3 of 3 engines
Head to head in AI answers
1 engine answers name both brands
| Prompt | Engine | Langfuse | OpenTelemetry |
|---|---|---|---|
| Best observability platform with AI features | Perplexity | #2 | #3 |
Features, pricing & fit
| Dimension | Langfuse | OpenTelemetry |
|---|---|---|
| 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 | On-premises, in hybrid environments, or across multiple clouds |
| Integrations | 100+ | 1151+ |
| Compliance | SOC 2 Type II, ISO 27001, HIPAA-ready region, GDPR | — |
| 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 | Community support through GitHub discussions and the community repository, Paid training and the free course Getting started with OpenTelemetry, Commercial support from numerous vendors |
| Founded | — | 2019 |
| Funding | Seed · $4M raised | — |
| Best for | Engineering teams building LLM applications and AI agents that want open-source, self-hostable tracing and evaluation | Teams that want to instrument applications once and keep the freedom to change observability backends |
Plans side by side
OpenTelemetry
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
OpenTelemetry
- Native OpenTelemetry support across observability platforms
- Reduces vendor lock-in and keeps telemetry portable
- Strong fit with Prometheus and Grafana ecosystems
- Dominant open standard for instrumenting code
- Free or low-cost use via open-source tooling
- Limited OpenTelemetry support
Data collected ·ChatGPT, Perplexity, Google AI Mode·coverage 100%·next run
Cite as: SlateIndex, “Langfuse vs OpenTelemetry”, https://slateindex.ai/compare/langfuse-vs-opentelemetry, data of Nov 3, 2026. Licence: CC BY 4.0.