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πŸ“– The AI Tool Bible

Helicone vs Phoenix

A side-by-side look at pricing, capabilities, pros, cons, and our editorial scores.

Tagline
Helicone
Open-source LLM observability β€” one-line proxy install.
Phoenix
Open-source LLM and agent observability platform with tracing, evals, and experimentation built on OpenTelemetry.
Pricing
Helicone
FreemiumΒ· Free 100k req/mo; Pro from $25/mo
Phoenix
FreemiumΒ· AX Free: Free Β· AX Pro: $50 Β· AX Enterprise: Custom
Lowest paid tier
Helicone
β€”
Phoenix
$50 Β· AX Pro
captured 2026-08-08
Free trial
Helicone
Not listed
Phoenix
Yes
API
Helicone
Not listed
Phoenix
Yes
Platforms
Helicone
api
Phoenix
api
Open source
Helicone
Not listed
Phoenix
Yes
Model used
Helicone
Platform (any LLM)
Phoenix
Multi-model
Best for
Helicone
Pick Helicone when you want one-line LLM observability with no integration work.
Phoenix
Pick Phoenix if you're building LLM agents and want OpenTelemetry-native tracing and evals you can self-host without losing core features.
Not for
Helicone
Skip it when you need deep eval datasets or your workload can't tolerate a proxy hop.
Phoenix
Skip it if you want a fully managed, zero-ops observability SaaS with white-glove enterprise support out of the box.
Editorial score
Helicone
8.3 / 10
Phoenix
7.0 / 10
Use cases
Helicone
observabilitycost trackingopen source
Phoenix
llm-tracingagent-debuggingllm-evaluationprompt-experimentsrag-observability
Pros
Helicone
  • One-line install
  • Open source
  • Generous free tier
  • Cost tracking is genuinely useful
Phoenix
  • Genuinely open source (ELv2) with self-host parity, not a crippled OSS shell
  • Native OpenTelemetry means no vendor lock-in for instrumentation
  • Covers tracing, evals, annotation, and experiments in one tool
  • Framework-agnostic: LangChain, LlamaIndex, DSPy, CrewAI, raw SDK calls all work
Cons
Helicone
  • Eval features less deep than Braintrust
  • Proxy adds a hop
Phoenix
  • Self-hosting still requires you to manage storage, retention, and upgrades
  • Eval UX is less polished than some managed competitors like LangSmith
  • Free cloud tier is capped at two instances
Website

Editorial score: rule-based, 0–10, from AI-assisted profile inputs (see /methodology) β€” not a user rating; β€œβ€”β€ means unscored. β€œNot listed” means we have no record of it, not that it is absent. GitHub figures and prices carry the date they were checked or captured; prices are shown as published, unconverted.

Pick Helicone if
  • βœ… One-line install
  • βœ… Open source
  • βœ… Generous free tier
  • βœ… Cost tracking is genuinely useful
Pick Phoenix if
  • βœ… Genuinely open source (ELv2) with self-host parity, not a crippled OSS shell
  • βœ… Native OpenTelemetry means no vendor lock-in for instrumentation
  • βœ… Covers tracing, evals, annotation, and experiments in one tool
  • βœ… Framework-agnostic: LangChain, LlamaIndex, DSPy, CrewAI, raw SDK calls all work