Helicone
AI gateway + observability platform
- • Purpose-built for LLM monitoring
- • Simple one-line integration
- • Open-source
- • Cost-effective for LLM workloads
helicone vs datadog
Compare Helicone AI gateway with Datadog LLM Observability for monitoring AI applications in production.
Last reviewed: 2026-03-03
AI gateway + observability platform
Enterprise APM with LLM monitoring add-on
| Capability | Helicone | Datadog LLM Observability |
|---|---|---|
| Primary focus | LLM-specific gateway | Full-stack APM + LLM add-on |
| Setup complexity | One-line integration | Agent + APM infrastructure |
| LLM-specific features | Purpose-built | Add-on to existing APM |
| Infrastructure monitoring | LLM only | Full stack (servers, DBs, etc.) |
| Open source | Yes | No |
| Pricing model | Free tier + usage | $8/mo per 10k requests (min 100k) |
| Best for | LLM-focused teams | Teams already using Datadog |
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.
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.
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.
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.