Complete pricing guide for Weights & Biases. Compare all plans, analyze costs, and find the perfect tier for your needs.
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Pricing sourced from Weights & Biases · Last verified March 2026
Detailed feature comparison coming soon. Visit Weights & Biases's website for complete plan details.
View Full Features →Weave is a product layer within W&B focused on LLM application development. It uses the same W&B account, workspace, and infrastructure. Think of it as the LLM-specific interface built on top of W&B's core experiment tracking capabilities.
W&B is broader (covering traditional ML + LLM) while Langfuse and Braintrust are deeper on LLM-specific features. W&B excels at experiment comparison and team reporting. If you only do LLM work, dedicated tools are more streamlined. If you do both ML and LLM, W&B unifies everything.
Yes, through Weave's tracing and W&B's monitoring features. However, W&B's roots are in offline experiment tracking, so real-time production alerting is less mature than dedicated monitoring tools. Many teams use W&B for evaluation and a separate tool for production monitoring.
The free tier supports small teams with limited storage and compute. The Team plan starts around $50/user/month. For 10 engineers, expect $500-1,000/month depending on usage. Enterprise pricing is custom and includes SSO, audit logs, and dedicated support.
AI builders and operators use Weights & Biases to streamline their workflow.
Try Weights & Biases Now →Open-source Python framework for orchestrating role-playing, autonomous AI agents that collaborate as a 'crew' to complete complex tasks.
Compare Pricing →Microsoft's open-source framework for building multi-agent AI systems with asynchronous, event-driven architecture.
Compare Pricing →LangGraph is LangChain's open-source framework for building stateful, durable, multi-agent workflows in Python and JavaScript with graph-based control flow.
Compare Pricing →SDK for integrating cutting-edge LLM technology into applications, with support for building AI agents and connecting model capabilities into existing app workflows.
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