Helicone
AI gateway + observability platform
- • Gateway-first request proxy
- • Built-in caching and rate limiting
- • Usage analytics and cost tracking
- • Simple one-line integration
helicone vs langfuse
Helicone vs Langfuse
Compare Helicone gateway-first observability with Langfuse open-source LLM tracing for production AI monitoring workflows.
Last reviewed: 2026-03-03
Langfuse
Open-source LLM observability and tracing
- • Open-source and self-hostable
- • Deep trace and span visualization
- • Prompt management and versioning
- • Evaluation and scoring framework
Feature and workflow comparison
| Capability | Helicone | Langfuse |
|---|---|---|
| Primary focus | AI gateway + observability | Open-source LLM tracing |
| Deployment model | Managed SaaS | Self-hosted or managed cloud |
| Request proxy / gateway | Core capability | SDK-based instrumentation |
| Trace and span visualization | Request-level logs | Deep trace trees with spans |
| Prompt management | Basic | Built-in versioning and management |
| Evaluation framework | Limited | Core capability with scoring |
| Cost tracking | Built-in usage costs | Token-based cost estimation |
Where AI Cost Board fits
Both Helicone and Langfuse focus on observability and tracing. AI Cost Board complements either tool by adding dedicated cost governance, budget alerts, project-level spend attribution, and finance-ready reporting that neither tool provides as a primary focus.
FAQ
Is Helicone or Langfuse better for cost monitoring?
Both offer basic cost visibility but neither is a dedicated cost governance tool. Helicone tracks usage costs through its proxy. Langfuse estimates costs from token counts. For dedicated budget controls, alerts, and attribution, teams add AI Cost Board.
Can I self-host Langfuse?
Yes. Langfuse is open-source and can be self-hosted. Helicone is primarily a managed service. AI Cost Board is fully managed SaaS with no infrastructure requirements.
Which tool is best for evaluation workflows?
Langfuse has stronger built-in evaluation and scoring capabilities. Helicone focuses more on gateway and request-level analytics. AI Cost Board focuses on cost governance and spend attribution.
Do I need all three tools?
It depends on your requirements. Many teams use one observability tool (Helicone or Langfuse) plus AI Cost Board for cost governance. The combination covers monitoring, tracing, and financial controls.