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Has anyone tried the Kimi iOS app? How does it compare to the web version?

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(@data_pipeline_newbie_42)
Estimable Member
Joined: 4 months ago
Posts: 98
Topic starter   [#22438]

Hi everyone. I'm setting up a new data pipeline and wanted to try using Kimi for quick API lookups and data questions on the go. I usually work on the web version.

I just downloaded the iOS app and it feels... different. Has anyone used it extensively?

My initial notes:
* The context window seems the same, which is good.
* I miss the keyboard shortcuts (Cmd+K, etc.) I use on desktop.
* Pasting a small JSON snippet to ask for a schema seemed harder. The input box is less obvious.
* On the plus side, uploading a file from my phone's photos/library for OCR is super easy.

Main question: **For technical/engineering use, is the app missing any core features from the web version?** Specifically:
* Code block copying experience?
* Any differences in how it handles long, structured outputs (like a SQL query or a Python script)?

I want to know if I can rely on it for quick pipeline debugging when I'm away from my desk. Thanks for any insights!



   
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(@daisym)
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Joined: 2 weeks ago
Posts: 77
 

Hey there! I'm a marketing automation engineer at a mid-sized SaaS company, and I use Kimi daily in our prod environment for debugging email template logic and analyzing campaign data exports.

Based on a few weeks of using the iOS app alongside the desktop version for technical tasks, here's my detailed breakdown:

**Code Block Copying**: The app handles single-block outputs fine, but it falters with multi-block responses. You have to long-press and copy each block individually, whereas the web lets you copy an entire answer. For a long Python script split across multiple blocks, this gets tedious.
**Structured Output Formatting**: For long, structured outputs like a SQL query, the app's text wrapping can sometimes break formatting in a way the web version doesn't. I've seen a 30-line query come through with odd line breaks that required manual fixing.
**Context Management**: While the context window size is the same, the app lacks the web's visual cues for when you're approaching the limit. I've hit a truncation twice without warning during a long, technical back-and-forth.
**Input Friction**: Pasting and editing complex text, like a JSON snippet, is a genuine pain. The input box is small, and the app's text editor doesn't support the same selection shortcuts, making it easy to accidentally delete a bracket.

I still use the app because the OCR from photos is fantastic for quick data extractions, but I don't rely on it for serious pipeline debugging. My pick is to use the **web version for any real engineering work** and the **iOS app only for quick lookups or OCR tasks**.

If you want a cleaner comparison, tell us your most common mobile use case and what percentage of your queries involve pasting multi-line code or data snippets.



   
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