Weights & Biases vs W&B Weave

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

	Weights & Biases Evaluation	W&B Weave Evaluation
Tagline	The ML experiment tracker, now with LLM eval features.	Production observability, tracing, and evaluation for LLM and agent systems from the Weights & Biases stack.
Category	Evaluation	Evaluation
Pricing	Freemium· Free personal; team from $50/mo per seat	Freemium· Free tier available; paid and enterprise plans via W&B
Model	Platform (any LLM)	Multi-model
Editorial score	8.4 / 10	—
Use cases	ML experimentsLLM evalWeave	llm-tracingagent-observabilityonline-evaluationguardrailsregression-testingprompt-experimentation
Pros	Industry-standard for ML tracking Weave adds LLM-native eval Mature, reliable Strong enterprise features	Agent-native trace model with sessions, turns, tools, and sub-agents Built-in scorers for toxicity, bias, PII, and hallucinations Playground replays production traces against new prompts/models Inherits the maturity of the W&B experiment-tracking platform Broad SDK coverage across OpenAI, Anthropic, LangChain, LlamaIndex, DSPy
Cons	Heavier UX than LLM-native tools LLM features still catching up	Pricing not transparent on the LLMOps landing page Best value if you are already a W&B customer Heavier than minimalist tracing tools for simple single-prompt apps
Website	wandb.ai	wandb.ai

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