ClearML vs Weights & Biases
MLOps Platforms pricing comparison · 2026 · Updated April 2026
ClearML pricing ranges from $0–$15/month, while Weights & Biases ranges from $0–$60/month. ClearML is typically 50% more affordable, though your actual cost depends on tier and team size.
Sources & confidence
Every dollar amount and contract clause below traces back to a sourced fact. We don't manufacture composite scores.
Plans at a glance
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What users say
Aggregated, with sample sizes. We use whichever review platform has data.
ClearML and Weights & Biases (W&B) are both MLOps platforms for experiment tracking, but they approach the market with different philosophies. Weights & Biases is the most widely adopted experiment tracking tool in the AI/ML community, known for its polished UI, rich visualizations, and deep integrations with every major ML framework. ClearML is a more comprehensive open-source MLOps suite that includes not just experiment tracking but also data versioning, pipeline orchestration, model registry, and compute orchestration — all in a single platform.
Pricing is a significant differentiator. ClearML offers a free Community tier and a Pro tier at $15/user/month ($180/year), with Scale and Enterprise tiers available at custom pricing for larger deployments. Weights & Biases offers a Free tier for individuals, a Pro tier at $60/month, and an Enterprise tier with custom per-user/month pricing for teams needing self-hosting and compliance.
Plan-by-Plan Pricing
| Plan | ClearML | Weights & Biases |
|---|---|---|
| Community | Free /per month | Free /per month |
| Pro | $15 /per user/month | $60 /per month |
| Scale | Custom | Custom |
| Enterprise | Custom | — |
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Our Verdict
Choose ClearML if you want a comprehensive open-source MLOps platform at low cost, especially if you need data versioning, pipeline orchestration, or model serving alongside experiment tracking. The Community tier is free, and Pro at $15/user/month is ideal for cost-conscious teams that want managed cloud autoscaling without paying premium per-seat SaaS fees.
Choose Weights & Biases if experiment tracking and visualization quality are your top priorities, and you're working in an environment where W&B is already the standard (research labs, most ML teams). The Free tier covers individual researchers, while Pro at $60/month and custom Enterprise pricing justify the premium for teams where integrations, community resources, and UI polish drive productivity gains.
Frequently Asked Questions
01 Is ClearML cheaper than Weights & Biases?
Yes, significantly. ClearML is free open-source (self-hosted) and its cloud plan starts at $15/mo for teams. Weights & Biases is free for individual/open-source use but charges $400/mo per user on the Teams plan — a team of three would pay $1,200/mo vs ClearML's $15/mo. For large teams, the cost difference is substantial.
02 Which has better experiment visualization?
Weights & Biases is generally regarded as having superior experiment visualization — its run comparison views, custom charts, and media logging (images, audio, video, 3D point clouds) are more polished and feature-rich. ClearML's visualizations are functional but less sophisticated, particularly for media-heavy experiments.
03 Can ClearML replace Weights & Biases for an ML team?
For most MLOps workflows, yes. ClearML covers experiment tracking, model registry, data management, and pipeline orchestration. Teams switching from W&B will find the experiment tracking feature set comparable for core use cases. The main gaps are visualization polish and community adoption — W&B has broader framework integrations and a larger base of public tutorials.