# AI错题树 vs Manim Tutorial

AI错题树 and Manim Tutorial are too close to call on the numbers: across 9 compared parameters — price, rating, ratings volume and update cadence among them — neither pulls far enough ahead to decide it. What separates them is feature set and interface, not measurable difference.

Both are free to download. AI错题树 sells 3 one-off in-app purchases and Manim Tutorial sells 6 one-off in-app purchases. Whichever you choose, the download price is not the number that matters.

On the App Store both sit at effectively the same score — 5.0 for AI错题树 against 5.0 for Manim Tutorial. Both are backed by a comparable volume of ratings — 1 and 1 respectively.

Both ship on a similar rhythm, roughly weekly. The most recent releases landed on October 31, 2026 and October 29, 2026 respectively.

## The numbers

| Metric | AI错题树 | Manim Tutorial |
| --- | --- | --- |
| Price | Free | Free |
| Rating | [5.0 (1 ratings)](https://appshunter.io/ios/app/ai/id6771737023/reviews) | [5.0 (1 ratings)](https://appshunter.io/ios/app/manim-tutorial/id6786021694/reviews) |
| Number of ratings | 1 | 1 |
| Positive reviews | — | 100.0% of reviews |
| In-app purchases | Yes | Yes |
| Ads | No | No |
| Update frequency | Weekly | Weekly |
| Monetization | Free with in-app purchases | Free with in-app purchases |
| Size | 48 MB | 198 MB |
| Requires iOS | 16.4 | **16.2** |
| Devices | iPhone, iPad | iPhone, iPad |
| Age rating | 4+ | 4+ |
| Developer | [南京五脉生物科技有限公司](https://appshunter.io/developer/6771737025) | [上海百隅信息科技有限公司](https://appshunter.io/developer/1797254501) |

## What reviewers say

### AI错题树

[App page](https://appshunter.io/ios/app/ai/id6771737023)

Effortlessly capture and analyze your mistakes from tests and homework using AI. Organize errors by subject and type, receive correct problem-solving approaches, and track your learning progress to identify weak areas.

**Highlights:** Photo upload for questions and test papers, AI error diagnosis and correction guidance, Organize mistakes by subject and error type, Track learning progress and identify weak areas, Privacy protection with local AI analysis

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

**In-app purchases (3)**

| Purchase | Price | Billing |
| --- | --- | --- |
| 100 AI calls | $0.99 | one-time |
| 1000 AI Calls | $4.99 | one-time |
| 5000 AI Calls | $24.99 | one-time |


### Manim Tutorial

[App page](https://appshunter.io/ios/app/manim-tutorial/id6786021694)

Learn to create animated math and computer science explanations using Python and an AI assistant. This app provides video lessons synced with runnable code, a built-in workspace for editing and rendering, and a structured learning path from beginner to advanced topics.

**Highlights:** Video lessons with synced, runnable code, Integrated Manim workspace with code editor, AI assistant for code generation and debugging, Offline course access, Multi-file project support, Structured learning path with 23 courses, Watermark-free export options

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

**In-app purchases (6)**

| Purchase | Price | Billing |
| --- | --- | --- |
| 4,000 AI Credits | $1.99 | one-time |
| 13,000 AI Credits | $5.99 | one-time |
| Workspace | $6.99 | one-time |
| 32,000 AI Credits | $13.99 | one-time |
| 62,000 AI Credits | $25.99 | one-time |
| Lifetime Access | $59.99 | one-time |


## Frequently asked questions

### Is AI错题树 free?

AI错题树 is free to download, with in-app purchases available.

### Is Manim Tutorial free?

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

### Which has better reviews, AI错题树 or Manim Tutorial?

AI错题树 and Manim Tutorial are both rated 5.0 out of 5 on the App Store, from 1 and 1 ratings respectively.

### Do AI错题树 or Manim Tutorial have ads?

Neither AI错题树 nor Manim Tutorial shows ads.

### Which is updated more often, AI错题树 or Manim Tutorial?

AI错题树 ships an update weekly, and Manim Tutorial weekly. Most recently, AI错题树 was updated on October 31, 2026 and Manim Tutorial on October 29, 2026.

---

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