WhisperCode vs LM Pocket
Price, ratings, monetisation and update history for both apps, side by side — with what reviewers say about each.
WhisperCode
This app brings a desktop-class coding experience to mobile devices, enhanced with advanced speech-to-text capabilities. Code on the go with an open-source solution designed for seamless mobile integration.
- Desktop-class coding experience on mobile
- Integrated speech-to-text
- Open-source project
- No telemetry or ads
- Mobile-optimized interface
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OpenCode Desktop ported to IOS + WhisperKit Speech-to-text. Code from anywhere with world class speech-to-text! Open source: https://github.com/DNGriffin/whispercode Free, no telemetry, no junk! True to Official OpenCode Desktop experience with small tweaks for Mobile.
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 ratings volume: WhisperCode at 25 against LM Pocket's 1. WhisperCode also leads on iOS requirement (17.0 vs 26.0). On price, rating, update cadence and ads 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.
On the App Store both sit at effectively the same score — 4.9 for WhisperCode against 5.0 for LM Pocket. That said, the two scores are not equally well evidenced: WhisperCode has 25 ratings behind it against 1, so its average is the more settled of the two.
Both ship on a similar rhythm, roughly every 3 days. The most recent releases landed on October 20, 2026 and October 8, 2026 respectively.
| Parameter | WhisperCode | LM Pocket |
|---|---|---|
| Price | Free | Free |
| Rating | 4.9 (25 ratings) | 5.0 (1 ratings) — better |
| Positive reviews | 94.1% of reviews | — |
| Number of ratings | 25 — better | 1 |
| Update frequency | Every 3 days | Every 3 days |
| Ads | No | No |
| In-app purchases | No | No |
| Monetization | Free | Free |
| Best chart rank | #131 — better | #210 |
| Devices | iPhone, iPad — better | iPhone |
| Requires iOS | 17.0 — better | 26.0 |
| Further details — not scored | ||
| Size | 22 MB | 19 MB |
| Age rating | 4+ | 4+ |
| Developer | Devin Griffin | Teo Bouancheau |
Customer experience
WhisperCode
LM Pocket
In-app purchases
WhisperCode
No in-app purchases
LM Pocket
No in-app purchases
