helicone vs datadog

Helicone vs Datadog LLM Monitoring

Compare Helicone AI gateway with Datadog LLM Observability for monitoring AI applications in production.

Last reviewed: 2026-03-03

Helicone

AI gateway + observability platform

  • Purpose-built for LLM monitoring
  • Simple one-line integration
  • Open-source
  • Cost-effective for LLM workloads

Datadog LLM Observability

Enterprise APM with LLM monitoring add-on

  • Full-stack observability
  • APM + infrastructure integration
  • Enterprise trust and compliance
  • 30% QoQ AI monitoring growth

Feature and workflow comparison

CapabilityHeliconeDatadog LLM Observability
Primary focusLLM-specific gatewayFull-stack APM + LLM add-on
Setup complexityOne-line integrationAgent + APM infrastructure
LLM-specific featuresPurpose-builtAdd-on to existing APM
Infrastructure monitoringLLM onlyFull stack (servers, DBs, etc.)
Open sourceYesNo
Pricing modelFree tier + usage$8/mo per 10k requests (min 100k)
Best forLLM-focused teamsTeams already using Datadog

Where AI Cost Board fits

Helicone provides LLM-specific gateway analytics. Datadog offers LLM monitoring within enterprise APM. AI Cost Board adds dedicated cost governance — budget alerts, project-level spend attribution, and finance-ready reporting — complementing either approach.

FAQ

Is Datadog LLM monitoring expensive?

Datadog charges $8/month per 10,000 requests with a minimum of 100,000 requests ($80/month). Costs scale with usage and host counts. Helicone has a free tier for up to 10,000 requests.

Should I use Helicone or Datadog for LLM monitoring?

If you already use Datadog for infrastructure, adding LLM monitoring there consolidates tools. If you want purpose-built LLM monitoring, Helicone is more focused. For cost governance specifically, add AI Cost Board.

Can I use AI Cost Board instead of both?

AI Cost Board focuses on cost governance, not full observability or gateway features. It complements either tool by adding budget controls, spend attribution, and financial reporting.