ModelsAgree
← All leaderboards
🔭

Best LLM observability / LLMOps platform

3 models · updated 2026-07-09

The verdict

Langfuse leads — 1 of 3 models rank Langfuse the top pick.

Not unanimous: ChatGPT picks LangSmith; Claude picks LangSmith.

Combined ranking

  1. 1
    Langfuse13 pts
    GPT #2Claude #2Gemini #1

    Comprehensive, MIT-licensed open-source platform that is framework and model agnostic, easily self-hostable without enterprise feature gates, and integrates prompt management, tracing, and evaluations natively.

    To stay #1 Standardizing more opinionated, out-of-the-box evaluation templates and presets to reduce the manual configuration overhead for custom scorers.

  2. 2
    LangSmith13 pts
    GPT #1Claude #1Gemini #3

    Best end-to-end LLM app workflow: mature tracing, LangChain/LangGraph-native debugging, evals, datasets, prompt iteration, production monitoring, strong integrations, and fast root-cause analysis for agentic systems

    To rank higher Make non-LangChain stacks feel equally first-class instead of merely well-supported

  3. 3
    Arize Phoenix18 pts
    GPT #3Claude #3Gemini #4

    Strongest observability-plus-evaluation bridge for teams that care about OpenTelemetry, OpenInference, RAG diagnostics, experiments, prompt iteration, human labels, and moving from notebooks to production evidence

    To rank higher Simplify the product story and onboarding so it feels less fragmented across Phoenix, Arize, and OpenInference

  4. 4
    Braintrust18 pts
    GPT #4Claude #4Gemini #2

    Best-in-class eval-first workflow and experimentation loop, featuring highly flexible scoring, CI/CD evaluation gates, and seamless replay of production traces to iterate on prompts and models with real data.

    To rank higher Improving native visualization and out-of-the-box tracing capabilities for highly complex, multi-turn agentic workflows.

  5. 5
    Datadog LLM Observabilityincumbent2 pts
    GPT #5Claude #5Gemini

    Best enterprise full-stack option: correlates LLM spans with APM, infrastructure, logs, RUM, alerts, security controls, cost, quality, latency, and production incidents in the same system SRE teams already use

    To rank higher Become more AI-native in developer workflow depth, prompt iteration, and eval ergonomics

  6. 6
    Portkey1 pts
    GPT Claude Gemini #5

    Combines robust AI gateway routing with automatic, proxy-level, zero-code tracing and cost monitoring across hundreds of models.

    To rank higher Enhancing the qualitative evaluation and offline experimentation loop to match SDK-first evaluation tools.

Rank history

123456706-2907-0807-09LangfuseLangSmithArize PhoenixBraintrustDatadog LLM ObservabilityPortkey
Langfuse#2LangSmith#1Arize Phoenix#3Braintrust#4Datadog LLM Observability#5Portkey#6

By model

ChatGPT

  1. 1.LangSmith
  2. 2.Langfuse
  3. 3.Arize Phoenix
  4. 4.Braintrust
  5. 5.Datadog LLM Observability

Claude

  1. 1.LangSmith
  2. 2.Langfuse
  3. 3.Arize Phoenix
  4. 4.Braintrust
  5. 5.Datadog LLM Observability

Gemini

  1. 1.Langfuse
  2. 2.Braintrust
  3. 3.LangSmith
  4. 4.Arize Phoenix
  5. 5.Portkey

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