Prompt

Honeycomb vs New Relic for LLM tracing

Technology / Observability1 observationLast seen Oct 9, 2026

Latest observation

Oct 9, 2026OpenAI APIWeb search: off

Here’s the short version:

  • Honeycomb is usually the better fit if you want deep, high-cardinality, query-first tracing/observability for LLM apps and you expect to inspect lots of attributes like prompts, model names, tenant IDs, retrieval metadata, tool calls, token usage, etc.
  • New Relic is usually better if you want a broader all-in-one observability platform that already covers infra, logs, APM, and you want LLM tracing to live inside that existing stack.

How they differ for LLM tracing

Honeycomb

Strengths

  • Excellent for event-level analysis and slicing traces by many dimensions.
  • Handles high-cardinality data very well, which is useful in LLM systems.
  • Great when you need to answer questions like:
    • Which prompt template caused latency spikes?
    • Which customer/tenant is hitting tool failures?
    • Which retrieval source correlates with bad outputs?
    • How do token counts vary by route/model/version?
  • Strong for exploratory debugging and building custom workflows around traces.

Tradeoffs

  • Not as “suite-like” if you also want logs, infra, dashboards, alerting, error tracking all in one place.
  • Requires a bit more intentional modeling of telemetry to get the most value.

New Relic

Strengths

  • Broad platform: APM, infrastructure, logs, browser/mobile, errors, synthetics, plus LLM observability features.
  • Easier if your team already uses New Relic for everything else.
  • Good for correlating LLM traces with the rest of the app stack in one place.

Tradeoffs

  • Can feel heavier and less “investigative” than Honeycomb for very deep trace slicing.
  • High-cardinality workflows are often where Honeycomb tends to shine more naturally.

For LLM-specific use cases

If you care about things like:

  • prompt/version comparisons
  • per-tenant or per-user analysis
  • RAG retrieval metadata
  • tool/function call tracing
  • token usage and cost
  • latency broken down by model/provider/retriever/tool

…then Honeycomb often feels more natural for analysis.

If your goal is:

  • “I want all observability in one vendor”
  • “My SRE team already lives in New Relic”
  • “I want LLM traces alongside infra, logs, and errors without much setup”

…then New Relic may be the simpler choice.

Practical recommendation

  • Choose Honeycomb if your main pain is debugging and understanding LLM behavior.
  • Choose New Relic if your main pain is platform consolidation and you already rely on New Relic broadly.

Rule of thumb

  • LLM product teams / platform teams: Honeycomb
  • General observability teams wanting one tool: New Relic

If you want, I can also give you:

  1. a feature-by-feature comparison table,
  2. a pricing/effort tradeoff view, or
  3. a recommended setup for OpenTelemetry-based LLM tracing in either tool.

Observation history

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