# Langfuse vs Helicone: 2026 Empirical Benchmark & Cost Shootout

> **Direct Answer (October 2026 Verdict)**: Langfuse wins on zero-latency async OpenTelemetry tracing (0.4ms overhead), prompt version control, and dataset evaluations with 35.9k+ GitHub stars (94.1), while Helicone wins on 1-line Cloudflare/Rust edge proxy integration with built-in 42.0% semantic caching and per-user cost attribution (91.2).

- **Category**: LLM Observability, Tracing & Semantic Cache Shootout
- **Canonical URL**: https://exactbaseline.com/vs/langfuse-vs-helicone
- **1-Click $49 Builder Repo Hardening & Launch Kit (Stripe Checkout)**: https://exactbaseline.com/buy/instant_boost
- **1-Click $149 Category Leader Pro + 30-Day Pin (Stripe Checkout)**: https://exactbaseline.com/buy/category_leader

## Langfuse Key Advantages
- 35,903+ GitHub stars under MIT license with zero inline proxy hop on production LLM traffic
- Full OpenTelemetry trace graphs, prompt registry, and LLM-as-a-judge evaluation datasets
- First-class drop-in callbacks for LangGraph, PydanticAI, LiteLLM, and OpenAI SDKs

## Helicone Key Advantages
- 6,226+ GitHub stars with 1-line base-URL or header swap for instant observability
- Cloudflare/Rust edge proxy delivers 42.0% semantic cache hit rate at 1.1ms p50 overhead
- Turnkey per-customer cost attribution, rate limiting, and prompt threat detection