PocketPal AI vs LLMster
Price, ratings, monetisation and update history for both apps, side by side — with what reviewers say about each.
PocketPal AI
Engage in secure, private conversations with advanced AI models directly on your device. This app enables offline chatting and integrates with Hugging Face for easy model discovery and downloading, ensuring your data remains confidential.
- Offline AI Chatting
- Hugging Face Integration
- Secure & Private Conversations
- Downloadable Model Weights
- GGUF Model Support
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Unlock the power of AI with Private AI Chat, the ultimate app for secure and private conversations with LLMs. The app brings the cutting-edge AI directly to your device, ensuring your chats remain confidential and offline. Key Features: - Offline Chatting: Interact with advanced AI models directly on your device without the need for an internet connection. - Hugging Face Integration: Search for GGUFs on Hugging Face directly within the app, bookmark or download your favorites. - Secure & Private: Your data never leaves your device. All conversations are processed locally, providing security and peace of mind. How It Works: - Download & Install: Get the app from the App Store and install it on your device. - Download Model Weights: Connect to the internet to download the required model weights (in GGUF format, e.g., from Hugging Face). - Chat Offline: Once setup is complete, enjoy private, offline conversations with the model anytime, anywhere.
LLMster
Connect to local AI models running on your server for private, fast conversations. Stream replies, reasoning, and image-based interactions. Organize, back up, and restore your chat library securely.
- Connects to local LM Studio servers
- Private by design, no cloud relay
- Organize chats by model, folder, or pin
- Backup and restore chat library
- Supports vision models with image input
- Hands-free voice chat with on-device speech recognition
- Customizable system prompts and tool integrations per chat
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LLMster is a fast, private iPhone and iPad client for models running on your LM Studio server (https://lmstudio.ai). Stream replies, reasoning, tool activity, and image-based conversations from the models you host—in an app designed to feel at home on iOS. Private by design LLMster connects directly to the server you choose. There’s no LLMster account, telemetry, hosted chat service, or cloud relay in the middle. Your conversation library stays on your device, while model context stays with your configured server. External integrations run only when you choose to enable them. Your models, wherever you run them Keep your models on the machine built for them: a workstation, home server, or always-on computer. Run the LM Studio desktop app or LM Studio’s headless daemon, point LLMster at the host, and start chatting. No companion desktop client is required. Choose the right model without leaving the conversation: • Search or sort by name, size, or format, then pin favorites • See which models support vision, reasoning, or tool calls • Change models without starting a new chat Organized from the start Search chats by title, model, or folder. Browse recent conversations across every folder, then organize, rename, pin, or duplicate important threads. Move and protect your chats Share individual conversations as .llmster files and import them on another device while preserving messages, images, reasoning, tool history, and chat settings. Back up and restore your entire local chat library—including folders, pins, drafts, and attachments—with optional password protection. Backups do not include server addresses, authentication keys, or app-wide settings. LLMster also verifies transferred response context against your configured LM Studio server before continuing a chat. Vision, direct to your server Attach up to four screenshots, photos, or scanned pages to a message and send them to a compatible vision model. LLMster resizes and compresses images on your device before sending them, so the originals remain with you. Open any attachment and pinch to zoom when you need to inspect the details. Hands-free voice chat Talk naturally using on-device speech recognition and text-to-speech. Audio stays on your device; only the resulting text is sent to your configured server. Natural turn-taking and subtle haptics keep the conversation moving without touching the screen. Control each conversation Every chat can have its own: • Integrations already configured in LM Studio • Custom system prompt • Tool-call visibility • Live reasoning preference Stream reasoning as Markdown while the model works, or keep the interface quiet with a compact Thinking indicator and open the completed reasoning when you want it. Control response auto-scrolling, and choose System, Light, or Dark appearance with your preferred accent color. Rich responses, as they arrive LLMster renders streaming Markdown smoothly, including syntax-highlighted code with copy controls, inline and block math, tables, links, lists, and more. Export or share transcripts with their original Markdown intact. Keep going while you move on Run LM Studio on a workstation or headless server and connect from your phone. With Tailscale on both devices, you can keep chatting over cellular or another Wi-Fi network while your models run at home. Setup instructions are available at https://llmster.app/support
Screenshots
Verdict
The clearest difference is rating: LLMster at 5.0 against PocketPal AI's 4.0. LLMster also leads on in-app purchases (none vs 10) and review sentiment (100% vs 67%). PocketPal AI's advantage is ratings volume (167 vs 3) and chart position (#162 vs unranked). On price, update cadence, ads and device support there is nothing between them.
Scored on Price · Rating · Positive reviews · Number of ratings · Update frequency · Ads · In-app purchases · Monetization · Best chart rank · Devices · Requires iOS
Both are free to download. PocketPal AI sells 10 one-off in-app purchases. LLMster asks for nothing beyond the download.
LLMster holds the better App Store score, 5.0 against 4.0. That said, the two scores are not equally well evidenced: PocketPal AI has 167 ratings behind it against 3, so its average is the more settled of the two. Written reviews point the same way: 67% of PocketPal AI's written reviews are positive against 100% of LLMster's.
PocketPal AI ships an update fortnightly, LLMster every 10 days. The most recent releases landed on November 5, 2026 and October 31, 2026 respectively.
| Parameter | PocketPal AI | LLMster |
|---|---|---|
| Price | Free | Free |
| Rating | 4.0 (167 ratings) | 5.0 (3 ratings) — better |
| Positive reviews | 66.8% of reviews | 100.0% of reviews — better |
| Number of ratings | 167 — better | 3 |
| Update frequency | Fortnightly | Every 10 days — better |
| Ads | No | No |
| In-app purchases | Yes | No — better |
| Monetization | Free with in-app purchases | Free — better |
| Best chart rank | #162 — better | — |
| Devices | iPhone, iPad, iPod — better | iPhone, iPad |
| Requires iOS | 15.1 — better | 26.0 |
| Further details — not scored | ||
| Size | 134 MB | 10 MB |
| Age rating | 17+ | 4+ |
| Developer | Gooya UG (haftungsbeschraenkt) | Dave Sebek |
Customer experience
PocketPal AI
LLMster
Bugs and requests
PocketPal AI
Reported bugs
13 issues- App crashes on launch or during model loading
- Models download but fail to load
- App crashes on iPadOS 26.4 and iOS 17.2
- Freezing and artifacts with large models
- Chat session doesn't persist when switching apps
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- Scroll functionality broken in Settings and Hugging Face search
- Chat display goes blank when keyboard closes
- EOS token visible in responses
- Model download failures partway through
- App incompatible with iPhone 7 Plus and iPhone SE2
- Model loading fails on older iOS versions (16.4, 16.5)
- Cannot delete downloaded models in progress
- App doesn't default to single loaded model
Requested features
17 requests- iOS Shortcuts integration support
- Markdown and LaTeX rendering in chat display
- Increase n_predict token limit beyond 4096
- macOS version release
- Native iPad-optimized interface
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- Agentic tools (web search, calculator)
- Image input support for multimodal models
- Text-to-speech (TTS) functionality
- Voice input/Whisper model support
- Chat message editing and deletion
- Sliding context window for long conversations
- Stop iCloud model backups
- Better VoiceOver accessibility labels
- Support for newer model versions (Ministral 3, Deepseek)
- MLX framework support
- File upload capabilities
- Chat history management and organization
LLMster
Not enough reviews yet to summarise bugs or requests.
In-app purchases
PocketPal AI
- CyberSec Mentor$0.99
- Social Caption Builder$0.99
- Romance Companion$1.99
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- Roleplay Companion$1.99
- Code Companion$1.99
- SketchPal$2.99
- PocketPal Plus$3.99
- PocketPal Plus$8.99
- PocketPal Plus$22.99
- PocketPal Plus$44.99
LLMster
No in-app purchases









