Complete pricing guide for Datadog LLM Observability. Compare all plans, analyze costs, and find the perfect tier for your needs.
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Pricing sourced from Datadog LLM Observability · Last verified March 2026
LLM Observability can work standalone but provides the most value when integrated with Datadog APM, Infrastructure Monitoring, or RUM. Many key features like infrastructure correlation require additional Datadog products.
Datadog bills based on the count of LLM spans ingested. Pricing is not publicly available and requires contact with Datadog sales. One documented case showed automatic activation at $120/day when LLM spans were detected.
Datadog supports major providers including OpenAI, Anthropic, AWS Bedrock, and Google Cloud AI. Popular frameworks like LangChain, LlamaIndex, and custom implementations can be instrumented through the SDK.
Datadog excels at infrastructure correlation and enterprise features but costs more than specialized tools like Langfuse, LangSmith, or Lunary. Choose Datadog if you need unified observability across AI and traditional infrastructure.
Yes, Datadog LLM Observability is designed for complex agentic workflows. It traces multi-step processes, tool usage, and intermediate decisions across distributed AI agent architectures.
AI builders and operators use Datadog LLM Observability to streamline their workflow.
Try Datadog LLM Observability 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 →LangSmith lets you trace, analyze, and evaluate LLM applications and agents with deep observability into every model call, chain step, and tool invocation.
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