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Billing & Credits

docs/en/platform/account/billing.md

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Billing

Ultralytics Platform uses credits for metered cloud training. Add credits, track usage, and manage your subscription from Settings > Billing.

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Plans

Choose the plan that fits your needs. Compare plans in Settings > Plans:

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{% include "macros/platform-plan-comparison.md" %}

Free Plan

Get started at no cost:

  • $5 signup credit ($25 for verified company/work emails)
  • Unlimited public and private projects and datasets
  • 100 models
  • 3 concurrent cloud trainings
  • 3 deployments
  • 100 GB storage · 10 GB dataset upload limit
  • Model export to all 19 formats
  • Draw and Smart annotation modes
  • 24 cloud GPU types including 5090, H100 & H200 ($0.24–$4.39/hr)
  • Community support

!!! tip "Company Email Bonus"

Sign up with a company email address (not gmail.com, outlook.com, etc.) to receive $25 in signup credits instead of $5.

Pro Plan

For professionals and small teams ($29/month or $290/year):

  • $30/seat/month in credits (recurring)
  • 500 models
  • 10 concurrent cloud trainings
  • 500 GB storage · 20 GB dataset upload limit
  • 10 cloud deployments
  • Team collaboration with 4-role RBAC (up to 5 members)
  • Access to the best GPUs (B200, B300)
  • Priority support

!!! tip "Save with Yearly Billing"

Choose yearly billing ($290/year) to save 17% compared to monthly billing.

Enterprise

For organizations with advanced needs:

  • Custom credit allocation
  • Unlimited models, storage, trainings, and deployments · 50 GB dataset upload limit
  • Enterprise License (commercial use, non-AGPL)
  • SSO / SAML authentication
  • On Premise data and compute
  • ISO/IEC 27001:2022 and SOC 2 Type I compliance
  • Enterprise SLA guarantees
  • Enterprise support

See Ultralytics Licensing for Enterprise plan details.

Credits

Credits are the currency for Platform compute services.

Credit Balance

View your balance in Settings > Billing:

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Balance TypeDescription
AvailableCredits available for cloud training

Credit Uses

Credits are consumed by:

ServiceRate
Cloud TrainingGPU rate x hours

Add Credits

Top up your balance:

  1. Go to Settings > Billing
  2. Click Top Up
  3. Select or enter amount ($5 - $1,000)
  4. Complete payment

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Top-Up Presets

Amount
$10
$20
$50
$100
$500

Custom amounts between $5 and $1,000 are also supported.

Auto Top-Up

Enable automatic credit purchases when your balance drops below a threshold:

  1. Go to Settings > Billing
  2. Toggle Auto Top-Up on
  3. Set Threshold (balance level that triggers a top-up)
  4. Set Amount (credits to purchase when triggered)
  5. Click Save

Default settings: threshold $20, amount $100.

!!! tip "Reduce Training Interruptions"

Auto top-up can reduce the chance that a paid cloud training job is stopped for insufficient credits. It requires
a valid default payment method.

Payment Methods

Manage payment methods in Settings > Billing:

  • Add Card: Click Add Card to add a credit or debit card
  • Set as Default: Set a default payment method for top-ups and subscriptions
  • Remove: Remove payment methods you no longer need

Billing Address

Set a billing address for invoices:

  1. Go to Settings > Billing
  2. Click Add Address (or Edit if already set)
  3. Enter your billing details (name, address, country)
  4. Click Save

Training Cost Flow

Cloud training estimates cost before start and charges for actual GPU time used.

mermaid
flowchart LR
    A[Start Training]:::start --> B[Estimate Cost]:::proc
    B --> C[Run Training]:::proc
    C --> D[Charge Actual Usage]:::out

    classDef start fill:#4CAF50,color:#fff
    classDef proc fill:#2196F3,color:#fff
    classDef out fill:#9C27B0,color:#fff

How It Works

  1. Estimate: Platform calculates estimated cost based on model size, dataset size, epochs, and GPU
  2. Authorize Start: Your available balance is checked before training starts
  3. Train: Job runs on the selected GPU
  4. Charge: On completion (or cancellation), billing uses actual runtime

!!! note "Actual Usage"

You pay for actual compute time used, including partial runs that are cancelled.

Training Costs

Cloud training costs depend on GPU selection:

{% include "macros/platform-gpu-table.md" %}

B200 and B300 GPUs require a Pro or Enterprise plan. All other GPUs are available on all plans.

See Cloud Training for complete GPU options and pricing.

Cost Calculation

text
Total Cost = GPU Rate x Training Time (hours)

Example: Training for 2.5 hours on RTX PRO 6000

text
$2.09 x 2.5 = $5.23

Upgrade to Pro

Upgrade for more features and monthly credits:

  1. Go to Settings > Plans
  2. Click Upgrade to Pro
  3. Choose billing cycle (Monthly or Yearly)
  4. Complete checkout

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Pro Benefits

After upgrading:

  • $30/seat/month credit added immediately and each month
  • Storage increased to 500 GB · 20 GB dataset upload limit
  • 500 models
  • 10 concurrent cloud trainings
  • 10 cloud deployments
  • Team collaboration (up to 5 members)
  • Access to best GPUs (B200, B300)
  • Priority support

Cancel Pro

Cancel anytime from the Plans tab:

  1. Go to Settings > Plans
  2. Click Cancel Subscription on the Pro plan card
  3. Confirm in the dialog

If you cancel before the end of your billing period, a Resume Subscription button appears — click it to undo the cancellation before the period ends.

!!! note "Cancellation Timing"

Pro features remain active until the end of your current billing period. Monthly credits stop being granted at cancellation.

Downgrading to Free

When your Pro subscription ends (cancelled or expired), your account reverts to the Free plan. Here's what happens to your existing resources:

ResourceWhat Happens
ModelsAll models preserved. Cannot create new models beyond 100-model limit
DeploymentsAll deployments preserved. Cannot create new beyond 3-deployment limit
StorageAll data preserved. Cannot upload new data beyond 100 GB limit
Dataset Upload (ZIP/TAR incl. .tar.gz/.tgz/NDJSON)Upload limit reduced from 20 GB to 10 GB per file
Credit BalanceExisting credits preserved and usable
Monthly Credits$30/seat/month grants stop immediately
Team MembersMembers notified and lose access to team resources
GPU AccessStandard GPUs remain available. Best GPUs (B200, B300) require Pro or Enterprise
Concurrent TrainingsLimit reduced from 10 to 3

!!! tip "No Data Loss"

Downgrading does not automatically delete models, datasets, or deployments. The workspace owner retains access,
while Free-plan creation limits apply and team members lose access to team resources.

Transaction History

View all transactions in Settings > Billing:

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ColumnDescription
DateTransaction date
TypeSignup, Purchase, Subscription, Monthly Grant, Training, Refund, Adjustment, Promo, Auto Top-Up, Auto Top-Up Failed, Pro Credit Expiry
AmountTransaction value (green for credits, red for charges)
BalanceResulting balance after transaction
DetailsAdditional context (model link, receipt, period)

FAQ

What happens when I run out of credits?

  • Running paid cloud training: Stops when metered usage pushes the balance below zero
  • New training: Cannot start new jobs until balance is positive
  • Deployments: Continue running regardless of balance

Add credits to restore a positive balance before starting new training jobs. Enable auto top-up to reduce the chance of an active job being stopped for insufficient funds.

How do I get an invoice?

Transaction receipts are available in the transaction history. Click the receipt icon next to any purchase transaction.

What if training fails?

If a cloud GPU has started, failed, cancelled, completed, and auto-terminated jobs are charged for elapsed GPU time. Validation or launch failures before cloud compute starts have no GPU usage charge. See Cloud Training Billing for the full breakdown.

Is there a free trial?

The Free plan includes $5 in signup credit, increased to $25 after verifying a company email. No credit card is required to start.