ClearML pricing guide details
Pricing Overview
ClearML stands out in the MLOps market with a genuinely generous freemium model built on an open-source core. The platform is available as a free self-hosted deployment (unlimited experiments, no feature restrictions), a free hosted Community tier, a paid Pro tier at $15 per user per month, and custom-quoted Scale and Enterprise tiers for sizable organizations. What makes ClearML's pricing notable is that the open-source edition delivers production-grade capabilities -- experiment tracking, pipeline orchestration, data versioning, model serving -- without any licensing cost. For teams that prefer managed hosting, the Community plan covers up to 3 users with 100GB of artifact storage and 1M API calls per month at $0. The Pro plan adds cloud autoscaling, hyperparameter optimization, and pipeline automations for $15 per user per month plus usage-based overages. We consider this one of the most cost-effective MLOps platforms available in 2026.
Plan Comparison
ClearML offers four distinct tiers across its hosted service, plus the fully free open-source self-hosted option. Here is how the hosted plans break down:
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| Feature | Community ($0) | Pro ($15/user/mo) | Scale (Custom Quote) | Enterprise (Custom Quote) |
|---|---|---|---|---|
| Team Size | Up to 3 users | Up to 10 users | Organizations with 8-48 GPUs | Multiple large projects |
| Artifact Storage | 100GB included | 120GB included | Custom | Custom |
| Metric Events | 1GB included | 1.2GB included | Custom | Custom |
| API Calls/Month | 1M included | 1.2M included | Custom | Custom |
| Experiment Tracking | Yes | Yes | Yes | Yes |
| Pipeline Orchestration | Yes | Yes | Yes | Yes |
| Dataset Versioning | Yes | Yes | Yes | Yes |
| Cloud Auto Scaling | No | AWS, GCP, Azure | Yes | Yes |
| Hyperparameter Optimization | No | Yes | Yes | Yes |
| Kubernetes Integration | No | No | Yes | Yes |
| Fractional GPUs | No | No | Yes | Yes |
| SSO Integration | No | No | Yes | Yes |
| SLA & Dedicated Support | No | No | Yes | Yes |
| Deployment | Hosted only | Hosted only | VPC only | VPC or On-prem |
The Community tier is a strong starting point for solo researchers and small teams. Pro unlocks meaningful automation features -- cloud autoscaling and HPO alone justify the $15 per seat for growing teams. Scale and Enterprise add infrastructure-level controls like fractional GPUs, multi-cluster orchestration, and SSO, which are essential for organizations managing dedicated GPU clusters.
Hidden Costs and Considerations
The Pro plan's $15 per user per month base price is just the starting point. Usage-based overages apply: $0.10 per GB of artifact storage beyond 120GB, $0.01 per MB of metric events beyond 1.2GB, $1 per 100K API calls beyond 1.2M, and $0.04 per hour per deployed application. For teams running multiple experiments with large datasets, these metering costs can add up. We recommend monitoring your artifact storage and metric event volumes closely during the first month on Pro. The Community tier's 100GB storage limit is generous for experimentation but will become a constraint for production ML workflows with large model checkpoints.
Cost Estimates by Team Size
Based on ClearML's published pricing, here are realistic monthly cost estimates:
Solo Practitioner (1 user)
- Community plan: $0/month -- 100GB storage, 1M API calls, full experiment tracking
- Pro plan: $15/month base + usage overages if needed
Small Team (5 users)
- Community plan: Not available (capped at 3 users)
- Pro plan: $75/month base (5 x $15) + usage. With moderate usage (200GB storage, 2GB metrics, 2M API calls), expect roughly $75 + $8 + $8 + $8 = approximately $99/month total
Mid-Size Team (20 users)
- Pro plan: $300/month base (20 x $15) + usage. At this scale, teams typically need 500GB+ storage and significant API volume. Estimated total: Pro seat fees plus metered usage, depending on workload intensity
- Scale plan: Recommended at this size for Kubernetes integration and GPU orchestration. Requires a custom quote
How ClearML Pricing Compares
ClearML is significantly cheaper than the major MLOps competitors, and it delivers broader platform coverage at every price point. Weights & Biases charges $60 per user per month for its Team plan -- four times ClearML's Pro tier -- and still lacks built-in data versioning and pipeline orchestration. Comet ML's Pro plan at $19 per user per month is closer to ClearML's pricing but does not include model serving or GPU orchestration capabilities.
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| Tool | Pricing Model | Starting Price | Free Tier Limits | Best For |
|---|---|---|---|---|
| ClearML | Freemium + usage-based | $0 (Community) / $15/user/mo (Pro) | 3 users, 100GB storage, 1M API calls | Full-stack MLOps with budget control |
| Weights & Biases | Freemium | $0 (Free) / $60/user/mo (Pro) | Limited seats and storage | Team collaboration and experiment visualization |
| Comet ML | Freemium | $0 (Free) / $19/user/mo (Pro) | Limited experiments | Experiment tracking and model monitoring |
ClearML's open-source self-hosted option is the decisive differentiator. Teams with infrastructure expertise can run the full platform at zero cost on their own servers -- something neither Weights & Biases nor Comet ML offers at comparable feature parity. For organizations that need managed hosting, ClearML's Pro plan at $15 per user per month delivers the best value-to-feature ratio in the MLOps category.