kitio.aiDigitalOcean vs Core ML
A side-by-side look at pricing plans, free tiers, features, pros and cons, updated for 2026. Core ML is completely free, while DigitalOcean is paid.
At a glance
Best for
Category
Pricing model
Starting price
Free plan
Made by
Based in
Rating
Key features
- Hosted model inference
- Managed Agents
- Sandboxes for coding agents
- Action Gateway for tools
- Managed databases
- Containers and storage
- On-device inference
- Neural Engine acceleration
- Xcode integration
- Model conversion via coremltools
- Works offline
| Feature | DigitalOcean | Core ML |
|---|---|---|
| Best for | Cloud for running AI inference, agents and apps in production | Apple framework for running machine learning models on device |
| Category | Models & APIs | Models & APIs |
| Pricing model | Paid | Free |
| Starting price | See pricing page | Free |
| Free plan | No | Yes, fully free |
| Made by | DigitalOcean | Apple |
| Based in | United States | United States |
| Rating | No ratings yet | No ratings yet |
| Key features |
|
|
Pricing compared
Core ML is completely free, while DigitalOcean is paid.
Free plan
Cheapest paid plan
Top plan
Free trial
3 plans
Inference
From $0.05 / M tokens
- Hosted AI models
- Single API
- No infrastructure to manage
Action Gateway
$0.10 / 1,000 calls
- 16,000+ tools
- Credentials kept from the model
- Retries and rate limits
Harness Runtime
From $0.0535 / hour
- Isolated microVM sessions
- Pause, resume and fork
Prices in USD, checked Nov 5, 2026 or later. Plans change often, so confirm on each tool's site before you buy.
Pros and cons
DigitalOcean
- Inference through a single API
- Usage-based pricing is stated openly
- AI and standard cloud in one account
- Managed Agents is still a public preview
- No free plan listed
- Smaller catalog than the largest clouds
Core ML
- Data stays on the user's device
- Uses Apple's Neural Engine
- Free with Apple's developer tools
- Only for Apple platforms
- Models must be converted to Core ML format
- Large models limited by device memory
Which one should you choose?
Choose DigitalOcean if you want:
- Inference through a single API
- Usage-based pricing is stated openly
- AI and standard cloud in one account
Watch out: managed agents is still a public preview.
Choose Core ML if you want:
- Data stays on the user's device
- Uses Apple's Neural Engine
- Free with Apple's developer tools
Watch out: only for apple platforms.
DigitalOcean vs Core ML FAQ
What is the difference between DigitalOcean and Core ML?
DigitalOcean: Cloud for running AI inference, agents and apps in production. Core ML: Apple framework for running machine learning models on device. Both are models & apis tools.
Is DigitalOcean or Core ML cheaper?
Core ML is completely free, while DigitalOcean is paid.
Do DigitalOcean and Core ML have free plans?
DigitalOcean: No. Core ML: Yes, fully free.
Who makes DigitalOcean?
DigitalOcean is made by DigitalOcean, based in United States.
Who makes Core ML?
Core ML is made by Apple, based in United States.
Which should I choose, DigitalOcean or Core ML?
Choose DigitalOcean if you value inference through a single api and usage-based pricing is stated openly. Choose Core ML if you value data stays on the user's device and uses apple's neural engine.