Arize Phoenix vs Langfuse vs LangWatch vs OpenLLMetry

A side-by-side look at scores, pricing and features — with RECATOOLS' ASEAN-aware verdict for each.

Arize Phoenix Open-source LLM evaluation and observability Visit Langfuse Open-source LLM observability and analytics Visit LangWatch OpenTelemetry-native LLMOps platform for tracing, evals and agents Visit OpenLLMetry OpenTelemetry-based LLM observability Visit
RECATOOLS Score 7.8 / 10 8.4 / 10 7.5 / 10 7 / 10
Capability 8 8 7.5 7
Value for money 9 9 8 8
Ease of use 6 7 7.5 6
ASEAN readiness 8 7 6.5 6
API quality 8 9 8 7
Pricing Open Source Open Source Freemium Open Source
Free tier
Paid from
Has API
Open source
Free to use
Users
Founded 2023 2023 2023
Maker
Verdict

Arize Phoenix is an open-source observability and evaluation toolkit for LLM and AI applications, offering tracing, prompt and RAG debugging, evals, and OpenTelemetry-based instrumentation that runs locally or self-hoste...

Langfuse is a leading open-source LLM observability platform covering tracing, prompt management, evaluations, cost tracking and analytics, with framework-agnostic SDKs that work well alongside LangChain, LlamaIndex or r...

LangWatch's most interesting move isn't a feature, it's the pricing shift it made in February 2026: away from per-trace billing (the model Langfuse and LangSmith both use, which can spike hard as usage grows) toward seat...

OpenLLMetry by Traceloop is an open-source observability layer for LLM applications built on OpenTelemetry standards, auto-instrumenting popular frameworks (LangChain, LlamaIndex, OpenAI, etc.) to trace prompts, completi...

Full review → Full review → Full review → Full review →
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Comparisons cover up to 4 tools. Scores are RECATOOLS editorial assessments; verify current pricing on each vendor's site.