Best AI evals platform for production

Combined ranking

1. 1
   Braintrust—15 pts

   GPT #1Claude #1Gemini #1

   Best end-to-end eval workflow, with strong datasets, custom scorers, experiment comparison, production trace-to-regression loops, CI release gates, and enterprise deployment options

   To stay #1 Add deeper turnkey root-cause analysis for complex agent failures

2. 2
   LangSmith—11 pts

   GPT #2Claude #2Gemini #3

   Excellent tracing and evaluation for multi-step agents, polished production monitoring, strong human-review workflows, and unmatched LangGraph integration while remaining framework-compatible

   To rank higher Reduce ecosystem lock-in and make the best workflows equally natural outside LangChain and LangGraph

3. 3
   Langfuse—8 pts

   GPT #4Claude #4Gemini #2

   Unlocked, MIT-licensed open-source flexibility offering an excellent unified suite for tracing, prompt management, and automated evaluation that works across any model framework.

   To rank higher Improving database performance under high ingestion loads and adding native batch-deletion APIs in the SDK to handle high-throughput environments.

4. 4
   Arize Phoenix—5 pts

   GPT —Claude #3Gemini #4

   Best observability foundation in the category — OpenTelemetry/OpenInference-native, genuinely open source, handles production-scale trace volumes, and its online evals and drift monitoring are built for teams running LLMs at real traffic, not just notebooks.

   To rank higher Close the eval-authoring UX gap — dataset curation and experiment iteration feel engineered-for-ML-teams, clunkier than the evals-first products for fast prompt/scorer loops.

5. 5
   AArize AI—3 pts

   GPT #3Claude —Gemini —

   Combines mature production observability with offline and online evaluation, OpenTelemetry-based tracing, drift analysis, and the capable open-source Phoenix stack

   To rank higher Simplify the product experience so teams can reach actionable answers without navigating enterprise-level complexity

6. 6
   Galileo—2 pts

   GPT #5Claude —Gemini #5

   Strong enterprise evaluation and guardrails, especially for RAG, safety, and high-volume online scoring, with specialized low-latency evaluators and flexible deployment

   To rank higher Make pricing and product access more transparent and developer-self-service

7. 7
   WWeights & Biases Weave—1 pts

   GPT —Claude #5Gemini —

   Natural extension for the huge installed base already using W&B for training — solid eval framework, versioned objects, and rich comparison UI, with credibility on rigor that model-centric teams trust.

   To rank higher Mature production-side monitoring and online evals — it's strongest pre-deploy; dedicated LLM-ops rivals beat it once traffic is live.

By model

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