# Monk vs Train with Pasta

The clearest difference is in-app purchases: Monk at none against Train with Pasta's 3. Monk also leads on update cadence (every 2 days vs every 2 weeks) and iOS requirement (17.0 vs 27.0). On price, ads and device support there is nothing between them.

Both are free to download. Train with Pasta sells 3 in-app purchases, starting at $9.99 per month. Monk asks for nothing beyond the download.

Monk ships an update every 2 days, Train with Pasta every 2 weeks. Both last shipped on October 19, 2026.

## The numbers

| Metric | Monk | Train with Pasta |
| --- | --- | --- |
| Price | Free | Free |
| In-app purchases | **No** | Yes |
| Ads | No | No |
| Update frequency | **Every 2 days** | Every 2 weeks |
| Size | 131 MB | 53 MB |
| Requires iOS | **17.0** | 27.0 |
| Devices | iPhone | **iPhone, Apple Watch** |
| Age rating | 12+ | 4+ |
| Developer | [Stoic AS](https://appshunter.io/developer/6772805638) | [AI OR DIE](https://appshunter.io/developer/6796564753) |

## What reviewers say

### Monk

[App page](https://appshunter.io/ios/app/monk-self-mastery/id6780531816)

**Features:** macOS Compatibility, Family Sharing, Vision Pro support

**In-app purchases:** none


### Train with Pasta

[App page](https://appshunter.io/ios/app/train-with-pasta/id6796564751)

**Features:** Apple Watch app

**In-app purchases (3)**

| Purchase | Price | Billing |
| --- | --- | --- |
| Monthly | $9.99 | per month |
| Annual | $99.00 | per year |
| Lifetime | $299.00 | one-time |


## Frequently asked questions

### Is Monk free?

Monk is free to download, with no in-app purchases.

### Is Train with Pasta free?

Train with Pasta is free to download, with in-app purchases available.

### Do Monk or Train with Pasta have ads?

Neither Monk nor Train with Pasta shows ads.

### Which is updated more often, Monk or Train with Pasta?

Monk ships an update every 2 days, and Train with Pasta every 2 weeks. Most recently, Monk was updated on October 19, 2026 and Train with Pasta on October 19, 2026.

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*Compared by [AppsHunter](https://appshunter.io/) from daily US App Store data. Review summaries are generated from verbatim App Store reviews.*