Arize Phoenix vs Helicone
Detailed side-by-side comparison to help you choose the right tool
Arize Phoenix
🟡Low CodeAI observability
Arize Phoenix provides open-source tracing, evaluations, and MCP tooling for ai observability workflows. It includes MCP compatibility.
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Starting Price
FreeHelicone
🔴DeveloperLLM Observability
Open-source LLM observability, gateway, and cost analytics platform — proxy your OpenAI, Anthropic, or Bedrock calls through Helicone and get traces, caching, retries, rate limiting, and cost tracking in one line of code.
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Starting Price
FreeFeature Comparison
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Arize Phoenix - Pros & Cons
Pros
- ✓Open-source and self-hostable
- ✓Trace timelines expose intermediate failures
- ✓AX Free includes 25,000 monthly spans
- ✓Datasets support regression testing
Cons
- ✗Instrumentation and evaluator design require engineering
- ✗Pro includes only 50,000 spans and 30-day retention
- ✗Self-hosting shifts operations to the user
- ✗Unredacted traces can capture sensitive data
Helicone - Pros & Cons
Pros
- ✓5-minute proxy integration captures full traces, cost, and latency across 20+ providers
- ✓Real AI gateway features (caching, retries, fallback, key vault) replace a custom proxy
- ✓MIT-licensed and self-hostable on Postgres + ClickHouse — passes regulated procurement
Cons
- ✗Proxy mode adds a network hop unless self-hosted in your own region
- ✗Prompt experiment UX is less mature than dedicated eval platforms like Braintrust
- ✗Self-hosting requires running ClickHouse, which is an extra ops surface
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