Arize Phoenix vs Weights & Biases Weave
No clear leader: Arize Phoenix (53.7) and Weights & Biases Weave (51.7) are within the 5-point margin; treat as a tie. The attribute-by-attribute breakdown below, with a source and date on every value, is the honest way to compare them.
Capabilities
Feature-by-feature on the axes that matter for llm observability. “-” means undocumented, not absent.
What each one is
The product in its own terms, so the numbers below have context.
Arize Phoenix
A self-hosted platform that traces and evaluates language model application behavior using OpenTelemetry instrumentation, enabling teams to debug, optimize, and monitor LLM performance.
Weights & Biases Weave
Platform for observability and analysis of production AI agent systems, featuring distributed tracing across multi-agent workflows, built-in evaluation APIs for model and prompt testing, and safety guardrails with pre-built scorers for toxicity, bias, PII detection, and hallucinations.
Pricing
List pricing as published by each vendor, with the date we read it. Always verify at the source before you buy.
Platform & deployment
Where each product runs and how it can be hosted. A dash means undocumented, not unsupported.
Integrations
What each product connects to. Counts come from the vendor's own integration directory where one exists.
- LlamaIndex
- OpenAI
- AWS Bedrock
- Claude Code
- LangChain
Arize Phoenix
- Anthropic
- Vertex AI
- Cursor
- OpenLLMetry
- OpenTelemetry
- OpenInference
- Gemini
- Google Vertex AI
- Google Gemini
- Together AI
- Fireworks
- NVIDIA NIM
- LiteLLM
- Traceloop
Weights & Biases Weave
- Slack
- CrowdStrike Falcon AIDR
- OpenPI
- CoreWeave
- NVIDIA
- JAX
- PyTorch
- OpenAI GPT-5.6
- OpenAI GPT-5.5
- Zhipu GLM-5.2
- Alibaba Kimi 2.7
- Anthropic Claude Opus 4.8
- Webhooks
- Google ADK
Arize Phoenix or Weights & Biases Weave: which one depends on you
A composite score cannot know your constraints. Describe them and both get re-weighted against what you actually need, with the evidence behind every position.
Free to run, no account needed to start. How the evaluation works
Comparison generated from independently-sourced facts. Every value links to its source and retrieval date. See the method.