LLLM vs LM Pocket
Price, ratings, monetisation and update history for both apps, side by side — with what reviewers say about each.
LLLM
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Chat app compatible with Ollama and self-hosted models. It needs an Ollama server running and adding the endpoint in the model settings. All the information saved is local, everything is private, and no account is needed. It supports message streaming and markdown. It could also work with models served without Ollama, but that has not been tested.
LM Pocket
Run open-source AI models directly on your device without cloud reliance. Discover, download, and chat with thousands of GGUF models privately. Offers a local API server and advanced management tools for power users.
- Run open-source AI models locally
- Discover and download GGUF models
- Private, on-device conversations
- OpenAI-compatible local API server
- Manage model library and performance
- GPU acceleration for fast inference
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Discover, download, and run open-source AI models directly on your device. No cloud. No subscription. No data leaves your device. LM Pocket brings the power of local AI models to your device. Browse thousands of GGUF models on Hugging Face, download them over WiFi, and chat with them entirely on-device. COMPLETELY PRIVATE Every conversation stays on your device. No server, no API key, no account required. Your prompts and responses never leave the device. DISCOVER MODELS Browse Hugging Face Hub for quantized GGUF models. Filter by size, quantization level, and popularity. See compatibility badges that tell you which models will run well on your device before downloading. CHAT WITH AI Stream token-by-token responses with full Markdown rendering. Manage multiple conversations. Adjust temperature, top-p, top-k, context length, and more. Supports ChatML, Llama, Mistral, Phi, Gemma, and other prompt formats automatically. LOCAL API SERVER Run an OpenAI-compatible HTTP server on your device. Expose /v1/chat/completions, /v1/models, and /v1/embeddings endpoints on your local network. Connect any app that supports the OpenAI API format. MANAGE YOUR LIBRARY Track installed models with storage usage. Import GGUF files from the Files app. Load and unload models with one tap. Monitor real-time performance: tokens per second, memory usage, and thermal state. BUILT FOR POWER USERS - GPU acceleration for fast inference - Background downloads with pause and resume - Hardware-aware model recommendations - Chat template auto-detection - Conversation export as JSON or Markdown - JSON mode with grammar-constrained output - Embeddings generation 100% FREE No subscriptions, no in-app purchases, no ads. Open-source AI should be accessible to everyone. SUPPORTED MODELS Run any GGUF-quantized model: Llama, Mistral, Phi, Gemma, CodeLlama, DeepSeek, Qwen, and thousands more from Hugging Face Hub. Model performance depends on device RAM and model size. Terms of Service: https://www.apple.com/legal/internet-services/itunes/dev/stdeula/
Screenshots
Verdict
The clearest difference is update cadence: LM Pocket at every 3 days against LLLM's every 3 months. LLLM's advantage is iOS requirement (17.6 vs 26.0). On price, ads, in-app purchases 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. Neither carries in-app purchases, so what you see is what you pay.
LLLM ships an update every 3 months, LM Pocket every 3 days. Both last shipped on November 5, 2026.
| Parameter | LLLM | LM Pocket |
|---|---|---|
| Price | Free | Free |
| Rating | — | 5.0 (2 ratings) — better |
| Number of ratings | — | 2 — better |
| Update frequency | Every 3 months | Every 3 days — better |
| Ads | No | No |
| In-app purchases | No | No |
| Monetization | — | Free |
| Devices | iPhone, iPad — better | iPhone |
| Requires iOS | 17.6 — better | 26.0 |
| Further details — not scored | ||
| Size | 0 MB | 19 MB |
| Age rating | 4+ | 4+ |
| Developer | Mario Cadenas | Teo Bouancheau |
In-app purchases
LLLM
No in-app purchases
LM Pocket
No in-app purchases






