Complete pricing guide for Langtrace. Compare all plans, analyze costs, and find the perfect tier for your needs.
Not sure if free is enough? See our Free vs Paid comparison →
Still deciding? Read our full verdict on whether Langtrace is worth it →
Pricing sourced from Langtrace · Last verified March 2026
Detailed feature comparison coming soon. Visit Langtrace's website for complete plan details.
View Full Features →Both are open-source LLM observability tools. Langtrace is built on OpenTelemetry standards for better interoperability with existing observability stacks. Langfuse has a larger community and more integrations.
Yes. Langtrace uses OpenTelemetry, so traces can be exported to Jaeger, Grafana Tempo, Datadog, and other OTLP-compatible backends alongside agent-specific analysis.
By default yes, for debugging purposes. You can configure the SDK to redact or exclude sensitive content from traces.
Langtrace adds minimal overhead through async trace collection. The SDK is designed to not impact agent response latency.
AI builders and operators use Langtrace to streamline their workflow.
Try Langtrace Now →Leading open-source LLM observability platform for production AI applications. Comprehensive tracing, prompt management, evaluation frameworks, and cost optimization with enterprise security (SOC2, ISO27001, HIPAA). Self-hostable with full feature parity.
Compare Pricing →Open-source LLM observability platform and API gateway that provides cost analytics, request logging, caching, and rate limiting through a simple proxy-based integration requiring only a base URL change.
Compare Pricing →Open-source LLM observability and evaluation platform built on OpenTelemetry. Self-host for free with comprehensive tracing, experimentation, and quality assessment for AI applications.
Compare Pricing →Developer platform for AI agent observability, debugging, and cost tracking with two-line SDK integration.
Compare Pricing →