Free plan available

Prompts

AI developer platform for LLMOps, experiment tracking, and model management.

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Intro

What is Prompts?

Weights & Biases (frequently referred to as w&b or wandb) is an AI developer platform built to streamline both LLMOps and MLOps workflows. The system provides developers with specialized weights ai tools to train and fine-tune models, monitor generative AI applications, and manage model lifecycles from experimentation to production. Key components of weights and biases include Weave for tracing, evaluating, and securing agentic LLM systems, alongside experiment tracking, hyperparameter sweeps, and collaborative model registries.

Prompts at a glance
Free, Pro from $50/mo, and custom enterprise plans.2.5M monthly visitsHas free access
Pricing

Prompts Pricing Plans

Compare Prompts free options, Prompts paid pricing plans, and usage notes before you choose the best way to use this AI tool in 2026.

Free, Pro from $50/mo, and custom enterprise plans.

$0 per month

Designed for personal development of AI applications and models. Includes 5 GB storage, 1 GB/mo Weave ingestion, and up to 5 model seats.

Starts at $50 per month

For professionals and small teams optimizing AI systems. Includes 100 GB storage, 500 tracked hours, 1.5 GB/mo Weave ingestion, up to 10 model seats, and team access controls. Offers a 30-day free trial.

Custom plans

For organizations requiring advanced security and compliance. Adds single-tenant options, SSO, SCIM provisioning, audit logs, custom roles, and custom storage limits.

$0 per month

Run a local W&B server on your own machine using Docker and Python. Limited to 1 user seat and personal project use only.

Custom plans

Provides full data control and privacy on customer infrastructure. Adds flexible deployment options, HIPAA compliance options, private connectivity, SSO, and custom roles.

Pricing updated:Jun 11, 2026

Features

Prompts AI Features

Weave for LLMOps: Application tracing, evaluations, production monitoring, and guardrailsModels for MLOps: Lightweight experiment tracking, hyperparameter sweeps, and workspacesModel Registry: Centralized storage to publish, share, and track dataset and model lineageW&B Tables: Interactive data visualization and exploration for machine learning datasetsW&B Reports: Collaborative dashboards to document findings and present ML experiment resultsFlexible Deployments: Support for multi-tenant SaaS, dedicated single-tenant cloud, and privately-hosted secure configurations
Pros & Cons

Prompts Pros and Cons

Pros

  • Provides seamless integration with popular frameworks including PyTorch, Hugging Face, TensorFlow, and LangChain
  • Offers deep, interactive visualizations of model performance and LLM trace histories
  • Free cloud tier for personal use and a dedicated, free-forever plan for academic researchers
  • Robust security features such as single sign-on (SSO), audit logs, and customer-managed encryption keys for enterprise plans

Limitations

  • Storage limits and tracked hour quotas on free and lower-tier plans require monitoring
  • Enterprise and self-hosted private deployments require contacting sales for pricing details

Prompts FAQ

Weights & biases helps ML developers track experiments, optimize hyperparameters, version datasets, and monitor LLM application performance so they can iterate on AI systems with greater visibility.