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Helicone vs Langfuse
Helicone vs Langfuse: compare pricing, use cases, AI models, integrations, privacy, governance and best fit by context.
Helicone vs Langfuse : buying comparison
This comparison helps choose between Helicone and Langfuse by pricing, use case, models, integration, privacy and governance.
Budget: Helicone · $0+. Rating: Langfuse · 4.5/5.
| Criteria | Helicone | Langfuse |
|---|---|---|
| Price | $0+ | $0+ |
| Best for | LLM gateway observability, request logging, cost analytics and prompt debugging | Open-source LLM observability, evals, prompt management and cost tracking |
| Models | Request logs, cost tracking, caching, rate limits, experiments, sessions and model provider analytics | Tracing, scores, datasets, prompt management, experiments, evals and model-cost analytics |
| Privacy | Open-source product with hosted and self-host deployment paths | MIT open-source core with free self-hosting and enterprise cloud/self-managed options |
| Rating | 4.3/5 | 4.5/5 |
Frequently asked questions
Helicone or Langfuse: which one should you choose?
Choose Helicone if entry budget is the priority. Choose Langfuse if perceived maturity and overall rating matter more. The final test should still be based on your repository.
Do Helicone and Langfuse cover the same need?
Yes, they are close in category; compare limits, privacy, integration and suggestion quality.
How can teams run a fair test?
Use the same ticket, same repository and same data constraints, then measure saved time, errors, diff quality and monthly cost.