📖 The AI Tool Bible

Arize AI vs Weights & Biases

A side-by-side look at pricing, capabilities, pros, cons, and our editorial scores.

 
Arize AI
Evaluation
Weights & Biases
Evaluation
TaglineEnterprise observability and evaluation platform for LLM agents and generative AI applications.The ML experiment tracker, now with LLM eval features.
CategoryEvaluationEvaluation
PricingFreemium· Free tier and OSS Phoenix; paid/enterprise tiers via salesFreemium· Free personal; team from $50/mo per seat
ModelMulti-modelPlatform (any LLM)
Editorial score—8.4 / 10
Use cases
llm-observabilityagent-evaluationrag-tracingprompt-testingproduction-monitoring
ML experimentsLLM evalWeave
Pros
  • Strong open-source story via Phoenix and OpenInference
  • Span/trace/session-level evals tuned for agentic workflows
  • Scales to trillions of spans with enterprise compliance (SOC 2, HIPAA, GDPR)
  • Broad framework coverage: LangGraph, LangChain, CrewAI, OpenAI, Anthropic
  • Self-hosted option for regulated deployments
  • Industry-standard for ML tracking
  • Weave adds LLM-native eval
  • Mature, reliable
  • Strong enterprise features
Cons
  • Public pricing is opaque; serious usage means a sales call
  • Feature surface is heavy for solo developers or hobby projects
  • Best value assumes you've standardized on OpenInference tracing
  • Heavier UX than LLM-native tools
  • LLM features still catching up
Websitearize.comwandb.ai
Pick Arize AI if
  • ✅ Strong open-source story via Phoenix and OpenInference
  • ✅ Span/trace/session-level evals tuned for agentic workflows
  • ✅ Scales to trillions of spans with enterprise compliance (SOC 2, HIPAA, GDPR)
  • ✅ Broad framework coverage: LangGraph, LangChain, CrewAI, OpenAI, Anthropic
Pick Weights & Biases if
  • ✅ Industry-standard for ML tracking
  • ✅ Weave adds LLM-native eval
  • ✅ Mature, reliable
  • ✅ Strong enterprise features
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