# 深腾云服VDI vs TangiLM

The clearest difference is in-app purchases: 深腾云服VDI at none against TangiLM's 1. 深腾云服VDI also leads on iOS requirement (13.0 vs 18.6). On price there is nothing between them.

Both are free to download. TangiLM sells 1 one-off in-app purchase. 深腾云服VDI asks for nothing beyond the download.

## The numbers

| Metric | 深腾云服VDI | TangiLM |
| --- | --- | --- |
| Price | Free | Free |
| Positive reviews | — | 50.0% of reviews |
| In-app purchases | **No** | Yes |
| Ads | — | No |
| Update frequency | — | Every 8 days |
| Monetization | — | Free |
| Size | 14 MB | 8 MB |
| Requires iOS | **13.0** | 18.6 |
| Devices | — | **iPhone** |
| Age rating | 4+ | 12+ |
| Developer | [Shenzhen Deep Cloud service Information Technology Co.,Ltd](https://appshunter.io/developer/1646196967) | [Ningbo Tanji Technology Co., Ltd.](https://appshunter.io/developer/1780379812) |

## What reviewers say

### 深腾云服VDI

[App page](https://appshunter.io/ios/app/vdi/id6465134431)

**In-app purchases:** none


### TangiLM

[App page](https://appshunter.io/ios/app/tangilm/id6759912874)

This app allows you to run powerful AI language models directly on your iPhone, offering private, offline chat and reasoning. You can download and manage various GGUF models, with an optional web search for up-to-date information. It's designed for fine-tuned performance and stability, ensuring a smooth user experience.

**Highlights:** Run AI models locally on iPhone, Offline-first private chat, Download and manage GGUF models, Optional web search for current info, Fine-tuned performance and stability, Session and history support, Multilingual UI and prompts

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

**In-app purchases (1)**

| Purchase | Price | Billing |
| --- | --- | --- |
| Unlock Theme Colour | $0.99 | one-time |


## Frequently asked questions

### Is 深腾云服VDI free?

深腾云服VDI is free to download, with no in-app purchases.

### Is TangiLM free?

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

---

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