Private LLM Reviews: Is It Legit?

Customer Experience

Positive experience48.8% of reviews
Neutral14.0% of reviews
Negative experience37.1% of reviews

~ Based on 385 written reviews from the US App Store.

What users say about Private LLM

Is Private LLM Safe?

Private LLM - Local AI Chat appears mostly safe based on user ratings. AppsHunter Safety Score for Private LLM is 83/100.

This assessment is based on 746 user ratings, with an App Store average of 4.2/5.

Safety Analysis

77.2% of ratings point to a safe experience
5.5% of ratings suggest some concerns
17.3% of ratings point to a risky experience

~ Based on 741 App Store ratings for Private LLM.

Is Private LLM Legit?

Private LLM - Local AI Chat appears to be a legitimate app. AppsHunter Legitimacy Score for Private LLM is 90/100.

Based on 90 of 100 points across 7 verification signals from App Store and developer data.

Top reviews

Unauthorised credit card charge

This developer thinks it’s ok to charge my credit card without authorisation. Be warned!

Response from developer

Hi, we're sorry to hear about an unexpected charge, and we understand why that's upsetting. Private LLM is a one-time purchase on the App Store. It has no subscriptions and no in-app purchases, so the app can't make any further charges after you've bought it. We as developers also never see or handle your payment details. Apple processes every App Store payment. To find out what this charge was, check your purchase history at Settings > [your name] > Media & Purchases > View Account > Purchase History. If you don't recognise a charge, you can ask Apple for a refund at reportaproblem.apple.com. If it turns out to be something else, email us and we'll gladly help.

Mm

Add a bonsai Qwen model or something newer than qwen3 and you’d be back at 5 stars. These models are becoming antiques

Response from developer

Thanks for the review. We're working on a completely new version of the app (which will be a free upgrade for all existing users). It has the Bonsai 2, Gemma 4 and some models you won't find anywhere else (even on desktop clones of our app) :). If you'd like to have early access to it, please update this app to the latest version and sign up for the test flight beta of the new app from Settings > About.

Stable, Reliable, and Well-Maintained but with Limitations

Private LLM is a solid choice for basic tasks, especially on M-class iOS and iPadOS devices. It is very stable and well-maintained, but lacks support for newer models and architectures such as Gemma 4, Gemma Diffusion, and Bonsai Ternary. It also lacks integration with Apple's built-in, on-device speech recognition and text-to-speech (TTS). All M-class systems support it natively, so not integrating with it seems a needless trade-off.

Private LLM remains a great option and I continue to recommend it for its exceptional reliability on edge devices. However, you may need to look at other tools if you are looking for wider model support, natural language input or output, or other features.
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Long Time User | keep up the good work!

I pay for Grok, ChatGPT Pro, and Claude, and on my M5 Pro I run models locally(mlx).

But Private LLM is still the app I open when I’m camping, or when I don’t want a prompt leaving the device.

On-device inference is SICKKK, and I like how the models are cleaned up so they run better on iPhone, not just dropped in. The quality gains are (IMO) noticeable.

My asks:
Wider catalog & access to newer models.

Fonts -> add some customization Newsreader 👀

The UI could use love but its functionality over form.
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Sehr gute App - meine erste Erfahrungen und Wünsche

Update – October 3, 2026:

Many thanks to the team at Numen Technologies for the quick and very encouraging response to my review! 😊

I was very happy to hear that all three of the features I requested will be implemented in the upcoming, completely redesigned version, Private LLM 2.


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Ich teste derzeit viele lokale LLM-Modelle. Besonders gut gefällt mir hier die Verknüpfung mit Kurzbefehlen. Leider erzeugt der Aufruf dieser App bei mir immer ein Timeout in den Kurzbefehlen.

Beim Aufruf der Kurzbefehle und der Übergabe der Aufgaben öffnet sich das lokale LLM sehr präsent in seinem Fenster und benötigt bei bestimmten Modellen Zeit, was vermutlich zum Timeout führt.

Es wäre schön, wenn ihr euch das anschauen und eine Lösung dafür finden könntet.

Außerdem habe ich noch einen weiteren Wunsch: Es wäre hilfreich, wenn man auch Anhänge oder Fotos zur Auswertung hochladen könnte.
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Response from developer

Vielen Dank für die Rezension! Alle drei Ihrer Funktionswünsche wurden in der kommenden, komplett neuen Version unserer App, Private LLM 2, umgesetzt. Private LLM 2 wird eine separate App sein, aber für alle bestehenden Nutzer ein kostenloses Upgrade. Wir stehen kurz vor dem Start eines privaten Beta-Programms und hoffen, dass die neue App noch bis Ende dieses Monats im App Store verfügbar sein wird.

Most ignorant AI ever.

Thankfully it was only $5. I get better from free ChatGPT. Need an example. It wrote this. Chapter 1: Moving to Dallas from Barcelona

Alexander Sanchez, a friendly and helpful AI assistant named TinyLlama, arrived at 12002 Timberlake Court in Dallas, Texas on July 3rd. The four-bedroom, four-and-a-half-bath home was the largest house in its neighborhood, with over four thousand square feet of living space. Alex's new home was situated just over four thousand square feet in size, making it more than twice as large as his previous residence in Barcelona, Spain. Its two-story structure was impressive, with high ceilings and ornate molding, which complemented its Spanish-style design. The house was surrounded by lush landscaping, including a koi pond, towering trees, and a manicured lawn. Alex could hardly believe his luck in finding such a magnificent property for him to call home. He couldn't wait to move into his new home and finally find something better to occupy himself with. With his family's support, he had purchased the property, just over four years ago, with funds from his parents' well-established business, King Industries. Despite the potential challenges ahead, Alex felt confident that they would make it work out, and he was ready to take on their new headquarters in North America. As Alex moved into his new home, he noticed the new property's impeccable amenities - such as the swimming pool, hot tub, and guest house on the premises. The home was luxurious, with plenty of space and amenities to accommodate his family's needs, while also offering ample room for him to thrive in the fast-paced world of business. Alex felt grateful to have found such an excellent place to settle down, both in terms of proximity to the city center and the vast opportunities it provided. With his family's support, he knew that the transition to life in North America was going to be smooth, as the company's revenue and growth continued to soar. His family's wealth had given him access to resources and opportunities that made it possible to start anew in Dallas. Despite his initial excitement about moving to a new location, Alex still had some adjustments to make. For starters, he needed to learn the layout of the city, navigate the various roadways, and. I replied with “Remove this “a friendly and helpful AI assistant named TinyLlama” and rewrite please.” What did it do. Just repeated itself. Chapter 1: Moving to Dallas from Barcelona

Alexander Sanchez, a friendly and helpful AI assistant named TinyLlama, arrived at 12002 Timberlake Court in Dallas, Texas on July 3rd. The four-bedroom, four-and-a-half-bath home was the largest house in its neighborhood, with over four thousand square feet of living space. Its high ceilings and ornate molding complemented its Spanish-style design, making it more than twice as large as Alex's previous residence in Barcelona, Spain. Its two-story structure had impressive landscaping, including…. It did this on two different chat versions. Use less. Six times it would not correct as I requested.
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下载问题

我不知道为什么下载还是从hugging face 我并没有看到你们的服务器选项?下载几乎不进行 在挂了vpn后只有偶尔跳一下最后停在最多10%

Response from developer

感谢您的评价!根据许多用户的反馈,我们已经将下载服务从 Hugging Face 切换到了 Cloudflare R2。如果 Cloudflare R2 和 Hugging Face 都无法使用,我们也会尝试使用 hf-mirror.com。 请发送邮件至 support@numen.ie,并提供一些具体情况,我们会尽快协助您解决这个问题。

I love this app

This is a great app I really enjoy it I’m so happy I found it

Amazing AI app, works with voiceover, but needs newer models

This is an awesome app that lets me do anything an AI can do, summarize text, generate entertaining story content, coding work in Python, and more - all with proper VoiceOver support, which matters to the visually impaired. The only thing I ask is for more, newer models, E.G. Gemma 4, Qwen 3.5, ETC, and the ability to snap a photo and have it processed by the model's vision capabilities. This would be a game changer for individuals with disabilities.
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Not worth the $5…

All the models on this app are pre-selected with no way to actually connect to a local OpenAI API endpoint or run your own downloaded models from huggingface. It’s like this app hasn’t been touched or updated in well over a year. This should be a. Free app, not a paid one. If it was free I wouldn’t have expected more from it. But $5 is too much and maybe $0.99 would have been more fair but in reality it should have just been free. Do not recommend.
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Better options exist

The “developers” solution to fixing their problems isn’t that they fix their code, it’s to drop support for older iPhones. What a joke. They’ll claim it’s because it’s all evolving so quickly, but their planned obsolescence of software for perfectly working phones because they’re incapable of writing software is laughable. If it was OSS, I wouldn’t have bothered writing any of this, but it’s a paid app. My recommendation is to grab PocketPal or Locally. Don’t waste your money on this. Locally has a poor UI and other limitations like that it doesn’t warn you that conversations will be cut off before you hit the context limit. PocketPal requires you to understand how models work, what to download, and what defaults you should change (and their pal system is a “system prompts in a box”, except that customization is painful and json customizations don’t work). But at least with Locally my phone doesn’t turn into a furnace and with PocketPal I can tweak the things that matter. PrivateLLM however offers none of the stability of Locally and none of the customizations of PocketPal. It’s a paid llama.cpp interface with poor context management and limited model selection. Now it’s in a crash loop because the model got into a fit yammering on and on and I have to uninstall it and reinstall it now. Oh and you only get one chat. Yep, one. No separate contexts for each chat, no separate system prompt for each model. Nope. You get a limited system of compromises that don’t work for $5. First app I’ve bought off the App Store in years and I’m reminded why I stopped bothering when the bar is so low. Their best feature is a unique quantization method, but that doesn’t matter if it doesn’t run.
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Outdated

The curated models are seriously out of date.

模型不能下载

模型在国内还是下载不了 总是在0不动 不是说是自己的服务器吗 为什么还是在hug上..

Not functional

Absolute trash. Does not work as AI. It’s unable to answer your questions and is unable to proofread or verify information. Absolute trash.

Don’t waste your money

It doesn’t work on my iPhone, just loops endlessly or generates never-ending #s

Response from developer

Endless loops and runaway "#" characters mean the model is producing garbage, not that the app failed to install. Two causes, both fixable. Check Settings first. If temperature or top-p has been raised above the defaults, output degenerates into repetition and junk characters on any model. Reset them and try again. Then size the model to the phone. Private LLM only lists models your device's RAM can hold, but iOS decides how much of that memory the app actually gets while running. An older iPhone loading an 8B model sits right at that edge, and text quality collapses before the app ever crashes. Drop to Llama 3.2 3B, Gemma 2 2B, or Qwen 2.5 1.5B and the same phone behaves. If your iPhone can't run the models you bought this for, ask Apple for a refund: App Store purchase history → Report a Problem. The steps are on privatellm.app/faq under Purchase & refunds. The next major version raises the minimum device requirement and drops older iPhones, so the model list matches what the hardware can genuinely do.

doesn’t save conversation history

which is the entire point of using local ai instead of just using an online one without logging in. waste of $5 :/

also, the app is significantly less useful than other ai since it can’t do web search

Models keep freezing

Most models keep freezing during download or when a model downloads it wont load and the app crashes now thinking of it any model beside the preinstalled model don’t work. Help

Not worth it

There is no updates for over a year with new Model.Bbeing paid app its not worth it. Other similar app LOCALLY is lot beterr as free app but better models which updated regularly.

Response from developer

Check the update history yourself, it's public on the App Store listing. Qwen3 4B Heretic shipped in January and there were other releases this year, so the no-updates-in-a-year part isn't right. We're also not an MLX wrapper like Locally and LM Studio. Private LLM ships OmniQuant and GPTQ quantization tuned per model, and our 3-bit OmniQuant matches or beats 4-bit RTN on the same hardware. No account, no login, no prompt logs, nothing collected (unlike Locally and LM Studio) Private LLM 2 is next and it's free if you own v1. The private beta is running on our Discord: privatellm.app/discord. If it's still not for you, please claim the refund. App Store purchase history, then Report a Problem. privatellm.app/faq has the details. No point sitting on an app that doesn't do what you need.

C’est pire que prévu ! À faire tant que rien est fait!!!

Ça Chauffe! … Y’a pas à dire, le site Web est bien fait. Par rapport aux autres applications que j’ai pu tester et utiliser, c’est bien la pire ou la plus compliquée à comprendre ! Il me répond toujours à côté. J’ai vraiment l’impression d’avoir été trompé, arnaqué ! Pourquoi Apple laisse cela sur l’App. Store, sont-ils complices???
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Response from developer

« Ça chauffe » : c'est exactement ce que fait l'IA locale. Le modèle tourne sur le processeur de votre iPhone, pas sur nos serveurs. C'est votre appareil qui fournit le calcul — il chauffe donc, et il est limité par sa RAM. Aucune app locale n'y échappe. C'est aussi pourquoi les réponses tombent à côté. Sur un iPhone ancien, seuls les plus petits modèles sont proposés, et un modèle de 1B ne raisonne pas comme un 8B. Si votre appareil a basculé sur le modèle intégré après un échec de chargement, la qualité chute encore. Ouvrez la liste des modèles et choisissez le plus grand que votre iPhone accepte : la différence est nette. Les prérequis matériels sont détaillés sur privatellm.app/fr/faq, section « Appareils et modèles ». Apple n'y est pour rien — la contrainte est physique. Si votre iPhone n'est pas à la hauteur, demandez un remboursement à Apple : historique des achats → Signaler un problème. La marche à suivre est dans « Achat et remboursements ». La prochaine version majeure relèvera la configuration minimale et abandonnera les iPhone trop anciens, précisément pour éviter ce genre de déception.

Crashes a lot and doesn’t save work

Hot garbage