Pay-per-token for language models, per-minute for audio, per-image for image generation, and per-hour for GPU rental. No long-term contracts or upfront costs.
Key features
Hierarchical traces capture every LLM call, tool invocation, and retrieval step
LLM-as-a-judge, heuristic functions, or human review evaluations
Prompt management with one-click deployments and rollbacks
Playground to test prompts on real production inputs and compare models
Experiments with test cases and side-by-side comparison
Human annotation and collaborative human-in-the-loop workflows
Cost and latency monitoring with dashboards and alerts
REST APIs and Query SDK for data access
Langfuse Assistant to automate the AI engineering loop
100+ machine learning models
Developer-friendly APIs
Text generation models
Image generation with Flux
Automatic scaling
Custom model deployment
Zero data retention policy
SOC 2 and ISO 27001 certified
Dedicated GPU clusters
Multi-GPU setups with SXM connections
What makes it different
MIT licensed open source platform with no data lock-in
Enterprise scale architecture handling billions of monthly events
Works with any language and framework with no framework lock-in
Async by default so tracing never blocks your application
Own cutting-edge inference-optimized infrastructure with secure US-based data centers
Zero retention policy with SOC 2 and ISO 27001 certification for data privacy
No long-term contracts or hidden fees with simple pay-as-you-go pricing
100+ production-ready models covering all major AI use cases
Customizable inference solutions tailored to cost, latency, throughput or scale priorities