Price checkPer seat
CommunityFreePro$15/user/moScaleCustom
See all 4 plans

All ClearML Plans & Pricing

Plan Monthly Annual Best For
View all features by plan (compare side-by-side)

Community

  • Up to 3 users
  • 100 GB artifact storage
  • 1M API calls/month
  • Experiment tracking
  • Data versioning
  • Model repository
  • Community support
  • Open-source self-hosting option (unlimited users)

Pro

  • Up to 10 users
  • 120 GB artifact storage
  • 1.2M API calls/month
  • Cloud autoscaling
  • Hyperparameter optimization
  • Pipeline automation
  • Email support
  • Advanced dashboards

Scale

  • Unlimited users
  • Large artifact storage
  • High API call limits
  • Advanced infrastructure management
  • Priority support
  • Custom SLAs

Enterprise

  • Everything in Scale
  • Security integrations (SSO, RBAC)
  • Dedicated support
  • On-premises or private cloud deployment
  • GPU-as-a-service options
  • Compliance and audit logs
  • Custom contract terms
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What does ClearML actually cost you?

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Tier
Billing
Your projected cost$375per month · $15/seat × 25seats
Year 1 license$4.5K12 months at this rate
At a glance

List price by tier (annualized, per seat)

Per-seat list price across ClearML's plans, annualized. Custom-priced tiers show a hatched bar.

Pro$180/yr
ScaleCustom
EnterpriseCustom
Quick Answer
Last verified:
Estimate

ClearML has a free plan; Pro costs $15/user/mo. Enterprise pricing is quote-based. Plans: Community (free), and Pro at $15/user/month. Custom pricing is available on request. Pricing depends on your chosen tier, contract length, and negotiated discounts.

Use the interactive pricing calculator to estimate your exact cost based on team size and requirements.

  • Free tier: Yes

ClearML offers 4 pricing tiers: Community, Pro, Scale, Enterprise. A free plan is available. Paid plans include Pro at $15/user/month. The Pro plan is ml teams that need managed cloud autoscaling and pipeline automation beyond the free tier.

Compared to other mlops platforms software, ClearML is positioned at the budget-friendly price point.

  • 14 documented hidden costs beyond list price
  • G2 rating: 4.7 out of 5 from 13 reviews (as of Jul 2026)
Last verified: | Sources: 1 pricing pages and reviews

How much does ClearML cost?

ClearML has a free plan; Pro costs $15/user/mo. Enterprise pricing is quote-based. Plans include Community (free), Pro at $15/user/month, Scale (custom pricing), Enterprise (custom pricing).

ClearML Pricing Overview

ClearML has a free plan; Pro costs $15/user/mo. Enterprise pricing is quote-based. The Community plan is free and is best for small teams and individual researchers, or any team using the free open-source self-hosted version. The Pro plan costs $15/user/month, best for ml teams that need managed cloud autoscaling and pipeline automation beyond the free tier. The Scale plan requires contacting sales for a custom quote and is designed for organizations running large-scale ai pipelines requiring advanced infrastructure control. The Enterprise plan requires contacting sales for a custom quote and is designed for large enterprises requiring on-premises deployment, compliance, and dedicated support.

There are at least 14 documented hidden costs beyond ClearML's list price, including implementation, training, and add-on fees.

This pricing was last verified in October 27, 2026 from 1 independent source.

Try ClearML Free
ClearML is an open-source MLOps platform providing experiment tracking, data versioning, model registry, pipeline orchestration, and GPU infrastructure management in one suite. It offers a free Community plan (up to 3 users), a Pro plan at $15/user/month (up to 10 users), and custom Scale and Enterprise plans for larger AI infrastructure needs.

How ClearML Pricing Compares

Compare ClearML pricing against top alternatives in MLOps Platforms.

Comet ML $0-$19 Compare → Determined AI $0 Compare → Weights & Biases $0-$60 Compare →

Compare ClearML vs Alternatives

Before committing to ClearML, compare pricing with these 3 alternatives in the same category.

VSComet ML
Free

Growing teams needing expanded LLM observability with customizable usage limits

Full comparison
VSDetermined AI
Free

ML teams and research organizations self-hosting on their own GPU infrastructure

Full comparison
VSWeights & Biases
Free

ML teams at early-stage companies needing collaboration and unlimited experiment tracking

Full comparison

All ClearML alternatives & migration guides

What Companies Actually Pay for ClearML

Review scores
G2 4.7out of 5 (13)
Third-party review aggregates, as of Jul 2026
Top pricing complaints
Lack of a user-friendly interfaceComplex initial setupIntegrations require effortInsufficient detailed documentation

How ClearML Pricing Compares

Software Starting Price Top Price
ClearML Free $15/user/month
Comet ML Free $19/month
Determined AI Custom Custom
Neptune.ai $150/month $250/month
Weights & Biases Free $60/month
MLflow Custom Custom

Detailed pricing comparisons:

Browse all MLOps Platforms pricing →

14 ClearML Hidden Costs Beyond the List Price

Beyond the listed price, ClearML has at least 14 documented hidden costs that can significantly increase total cost of ownership.

Watch for 14 hidden costs
  • Infrastructure Costs
    high 1 source
    Grounded summary Community Plan: This is a free, open-source tier that can be self-hosted (unlimited users) or used as a free hosted SaaS tier (limited to 3 users, 100GB artifact storage, 1M API calls/month).
  • Usage-Based Overages $0.10 per GB for artifact storage, $0.01 per MB for metric events, $1 per 100K API calls, and $0.04 per application hour
    high 1 source
    Grounded summary For instance, overage rates are approximately $0.10 per GB for artifact storage, $0.01 per MB for metric events, $1 per 100K API calls, and $0.04 per application hour.
  • Human Capital Costs
    critical 1 source
    Grounded summary Human Capital Costs: Implementing and maintaining an MLOps platform requires specialized talent, including ML platform leads and MLOps engineers.
  • Migration Complexity
    high 1 source
    Grounded summary Migration Complexity: Moving from existing workflows, experiment tracking, and model deployment infrastructure to a new platform like ClearML can involve significant migration effort and may require vendor support.
  • Skill Gaps
    medium 1 source
    Grounded summary Skill Gaps: Teams may face skill gaps in platform-specific concepts (e.g., Kubernetes, infrastructure-as-code, MLOps patterns), which can extend onboarding timelines and increase implementation effort.
  • Integration Delays
    medium 1 source
    Grounded summary Integration Delays: Integrating with legacy data infrastructure, proprietary ML frameworks, or complex multi-cloud environments can cause delays.
  • Opportunity Cost
    critical 1 source
    Grounded summary Opportunity Cost: The cost of not having a mature MLOps practice can manifest in unbudgeted, high-stress events, such as debugging corrupt model states, eroded morale, delayed business impact, and lost revenue due to models degrading silently in p...
  • Specialized Talent
    high 1 source
    Grounded summary Assigning these tasks to generalist software engineers without MLOps experience can lead to inefficient troubleshooting and suboptimal solutions, increasing operational costs.
  • Data Management and Governance
    medium 1 source
    Grounded summary These costs can escalate with data growth and model complexity.
  • Professional Services
    high 1 source
    Grounded summary Professional Services: For Scale and Enterprise tiers, implementation and professional services fees are not publicly disclosed and should be anticipated.
  • Technical Debt
    critical 1 source
    Grounded summary Technical Debt: The cost of not having a mature MLOps practice can manifest in unbudgeted, high-stress events like debugging corrupt model states, leading to lost engineering hours, eroded morale, and delayed business impact.
  • Operational Costs for Production Models idle AI endpoints can cost between $500 and $23,000 monthly; Model retraining can also cost millions of dollars (source dated Jul 2026)
    high 1 source
    Grounded summary Model retraining can also cost millions of dollars.
  • On-Premise/VPC Setup
    medium 1 source
    Grounded summary Initial Setup for On-Premise/VPC Deployments: While ClearML offers self-hosting, which can eliminate subscription fees, the initial setup and on-premise configuration can be time-consuming and may involve a learning curve.
  • Compliance and Security Overhead
    high 1 source
    Grounded summary These overage fees include approximately $0.10 per GB for artifact storage, $0.01 per MB for metric events, $1 per 100K API calls, and $0.04 per hour per application.
Tip

Ask your ClearML sales rep about these costs upfront. Getting them in writing before signing can save you from surprise charges later.

Full hidden costs breakdown →

Intelligence sourced from 2 independent sources
industry G2 B2B reviews
Key claims include inline source attribution. Data verified against multiple independent sources. 15 source citations total.

How to Negotiate ClearML Pricing

ClearML contracts are negotiable. These 1 tactics are sourced from real buyer experiences and procurement specialists.

Negotiation Playbook 1 tactics
Demand Transparency and Cost Calculators high success

Buyers should request clear cost breakdowns for scenarios matching their 12-month and 24-month projections, especially for usage-based or custom-quoted tiers; ClearML does offer a TCO Calculator, particularly for Generative AI.

https://rfp.wiki
High success Medium Low / difficult

Full negotiation guide →

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