Best LLM observability / LLMOps platform

Combined ranking

1. 1
   LangSmith—14 pts

   GPT #2Claude #1Gemini #1· Deepest LLM-native tracing for agentic apps, tight integration with LangChain/LangGraph but framework-agnostic SDKs, best-in-class prompt playground, dataset/eval workflows, and human-in-the-loop annotation queues that production teams actually use end to end.
2. 2
   Langfuse—13 pts

   GPT #1Claude #2Gemini #2· Best overall 2026 balance of production tracing, prompt management, evals, analytics, OpenTelemetry support, self-hosting, MIT-licensed core, strong integrations, and credible scale for teams that need control over AI trace data
3. 3
   Braintrust—8 pts

   GPT #3Claude #4Gemini #3· Best eval-first workflow, strong datasets and experiments, production tracing tied directly to regression prevention, human and automated scoring, quality gates, and product-friendly collaboration
4. 4
   Arize Phoenix—4 pts

   GPT #4Claude —Gemini #4· Strong open-source tracing and evaluation stack, native OpenTelemetry posture, vendor-agnostic design, local-to-Kubernetes deployment options, and a credible path into Arize’s broader ML observability platform
5. 5
   Helicone—3 pts

   GPT #5Claude #5Gemini #5· Fastest practical on-ramp for LLM logging through an AI gateway, clear cost and latency tracking, caching/rate-limit/provider-routing features, open-source option, and low integration burden for API-heavy products
6. 6
   AArize Phoenix / Arize AX—3 pts

   GPT —Claude #3Gemini —· Rigorous ML+LLM observability heritage, excellent OpenInference/OpenTelemetry-based tracing, strong drift/embedding analysis and automated eval tooling, with an open-source Phoenix on-ramp feeding an enterprise platform.

By model

Tracked by ModelsAgree · rank 1 = 5 pts … rank 5 = 1 pt · re-polled continuously