Weights & Biases Pricing (2026)

Hybrid through and through — base tiers are per-seat, but storage overages ($0.03/GB), inference (per-token by model), and sandbox credits layer on usage-based charges on top. You're paying for tracked experiment hours, storage, and increasingly for AI inference as you scale.

From $60/mo 5 plans hybrid Free plan Free trial
Free
$0/mo
Personal
$0/mo
Pro
$60/mo
Enterprise
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Advanced Enterprise
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Verified Jul 26, 2026 Official pricing page

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Free

$0/mo
  • AI application evaluations
  • AI application tracing
  • AI application scorers
  • AI model experiment tracking
  • AI assets registry & lineage tracking
  • Community Support

Personal

$0/mo
  • 1 user seat
  • Experiment tracking
  • Registry & lineage tracking
  • Run a W&B server locally on any machine with Docker and Python installed
  • For personal projects only. Corporate use is not allowed.

Pro

$60/mo
  • Unlimited teams for collaboration
  • Team-based access controls
  • Service Accounts
  • Priority email & chat support
  • CI/CD automations
  • Slack and email alerts

Enterprise

Contact Sales
  • Single tenant option with choice of region
  • HIPAA compliant option
  • Secure private connectivity
  • Customer-managed encryption key
  • Single Sign On
  • Automated user provisioning
  • Custom roles
  • Audit logs
  • Enterprise support package

Advanced Enterprise

Contact Sales
  • Flexible deployment options
  • HIPAA compliant option
  • Secure private connectivity
  • Customer-managed encryption key
  • Single Sign On
  • Automated user provisioning
  • Custom roles
  • Audit logs
  • Enterprise support package
  • Run a W&B server locally on your own infrastructure with a free enterprise trial license

AI Pricing Analysis

Pricing Model

Hybrid through and through — base tiers are per-seat, but storage overages ($0.03/GB), inference (per-token by model), and sandbox credits layer on usage-based charges on top. You're paying for tracked experiment hours, storage, and increasingly for AI inference as you scale.

Tier Strategy

Free hooks individual researchers and small teams; Pro ($60/mo) is explicitly scoped to sub-50-person early-stage teams, so the upgrade trigger is headcount and storage pressure, not just feature gaps. Enterprise kicks in when you need SSO, private hosting, or compliance controls — and the privately-hosted track (Personal → Advanced Enterprise) is a parallel path for orgs that can't send data to W&B's cloud.

Competitive Positioning

At $60/mo for Pro, they're accessible for indie teams and startups, but the real competition is MLflow (open-source, self-hosted, free) and Comet ML — W&B is positioning as the polished, cloud-native option worth paying for when you're tired of maintaining your own infra. They're mid-market on price but premium on brand within the MLOps space.

Growth Lever

Storage limits and seat count are the primary expansion drivers on Pro, but inference usage is the sleeper — as teams move from tracking to actually running models through W&B, per-token billing scales fast. The academic free tier is a deliberate pipeline play: get researchers hooked in school, convert them when they join companies.

Want the strategist's read on the live page? Read the AI teardown of Weights & Biases's pricing page →

Weights & Biases Pricing FAQ

How much does Weights & Biases cost?
Paid plans start at $60/mo. There's also an Enterprise tier with custom pricing. You can get started on the free plan before committing.
Is there a free plan?
Yes. The "Free" plan is free forever, not just a trial. You get ai application evaluations, ai application tracing, ai application scorers — plus 3 more features. It's enough to evaluate the product before upgrading.
Can I try it before paying?
Yes — there's a free trial that lasts 30 days. You don't need a credit card to start.
How does the pricing work?
Hybrid through and through — base tiers are per-seat, but storage overages ($0.03/GB), inference (per-token by model), and sandbox credits layer on usage-based charges on top. You're paying for tracked experiment hours, storage, and increasingly for AI inference as you scale.
Which plan makes sense for me?
Free hooks individual researchers and small teams; Pro ($60/mo) is explicitly scoped to sub-50-person early-stage teams, so the upgrade trigger is headcount and storage pressure, not just feature gaps. Enterprise kicks in when you need SSO, private hosting, or compliance controls — and the privately-hosted track (Personal → Advanced Enterprise) is a parallel path for orgs that can't send data to W&B's cloud.

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