# CalendarRef vs Model Near

The clearest difference is iOS requirement: Model Near at 15.1 against CalendarRef's 18.5. On price, ads, in-app purchases and device support there is nothing between them.

Both are free to download. Neither carries in-app purchases, so what you see is what you pay.

## The numbers

| Metric | CalendarRef | Model Near |
| --- | --- | --- |
| Price | Free | Free |
| Rating | **[5.0 (1 ratings)](https://appshunter.io/ios/app/calendarref/id6749834885/reviews)** | — |
| Number of ratings | **1** | — |
| In-app purchases | No | No |
| Ads | No | No |
| Update frequency | — | Every 4 months |
| Monetization | Free | — |
| Size | 1 MB | 186 MB |
| Requires iOS | 18.5 | **15.1** |
| Devices | iPhone, iPad | **iPhone, iPad, iPod** |
| Age rating | 4+ | 17+ |
| Developer | [Derrick Braga](https://appshunter.io/developer/1832376581) | [Fashion Republic LLC](https://appshunter.io/developer/1278084964) |

## What reviewers say

### CalendarRef

[App page](https://appshunter.io/ios/app/calendarref/id6749834885)

This app provides a fast, minimalist calendar reference for quickly finding the day of the week for any date. It offers full-year and monthly views with clean layouts, supporting BCE/CE years and accurate historical calendar conversions. It works offline without ads or tracking.

**Highlights:** Full-year view, Monthly layouts, Instant year navigation, BCE/CE year support, Julian/Gregorian calendar handling, Optional date highlights, Offline functionality

**Features:** macOS Compatibility

**In-app purchases:** none


### Model Near

[App page](https://appshunter.io/ios/app/model-near/id6758962849)

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

**In-app purchases:** none


## Frequently asked questions

### Is CalendarRef free?

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

### Is Model Near free?

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

### Do CalendarRef or Model Near have ads?

Neither CalendarRef nor Model Near shows ads.

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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.*