LLM Local Client vs MLX Benchmarks
Price, ratings, monetisation and update history for both apps, side by side — with what reviewers say about each.
LLM Local Client
Connect your mobile device to large language models hosted on your computer. This app provides a secure and convenient way to access powerful AI capabilities on the go, bridging the gap between your phone and local LLM servers. Unleash your productivity with seamless interaction.
- Connects mobile to local LLM servers
- Lightweight and easy setup
- Secure local network connection
- Mobile convenience for AI access
- API compatibility for flexibility
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Looking to Run a personal LLM on Your Mobile Device? Instead of installing large models on your phone, consider an alternative solution. This app connects your mobile device to locally hosted large language models (LLMs) on your computer. Using a fast and secure local network, it provides seamless interaction with advanced AI capabilities. Use this app as a bridge to powerful LLMs and unleash your productivity like never before. Key Features: • Lightweight and Easy Setup: Configure and start using the app in just a few steps. • Local Network Security: Your data stays within your trusted environment, ensuring privacy. • Mobile Convenience: Access the power of your local LLM server anytime. • API Compatibility: Designed to work seamlessly with common LLM APIs for maximum flexibility. Perfect for AI enthusiasts and professionals, this app provides a portable, secure solution for leveraging large language models on the go.
MLX Benchmarks
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MLX Benchmark helps you understand how large language models perform on your hardware. Select a model and quantization, set context length and iterations, and run repeatable benchmarks that capture load time, tokenization time, time to first token, throughput, memory usage, and jitter. View detailed metrics grids, visualize comparisons in charts, and manage downloaded model repos directly in the app. Built for developers and AI enthusiasts who want clear, on-device performance insights without leaving their device. Features: - Model selection with quantization details - Configurable prompt, context length, and iterations - Metrics for load, tokenization, first-token latency, throughput, jitter, and memory - Charts to compare runs and devices - Downloaded model management (list, delete, refresh) - Optional Supabase upload for aggregating benchmark results
Screenshots
Verdict
The clearest difference is update cadence: MLX Benchmarks at every 2 days against LLM Local Client's every 9 days. LLM Local Client's advantage is iOS requirement (16.6 vs 18.6). 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.
LLM Local Client ships an update every 9 days, MLX Benchmarks every 2 days. The most recent releases landed on September 24, 2026 and September 29, 2026 respectively.
| Parameter | LLM Local Client | MLX Benchmarks |
|---|---|---|
| Price | Free | Free |
| Rating | 4.6 (5 ratings) — better | — |
| Positive reviews | 71.4% of reviews | — |
| Number of ratings | 5 — better | — |
| Update frequency | Every 9 days | Every 2 days — better |
| Ads | No | No |
| In-app purchases | No | No |
| Monetization | Free | — |
| Devices | iPhone, iPad | iPhone, iPad |
| Requires iOS | 16.6 — better | 18.6 |
| Further details — not scored | ||
| Size | 2 MB | 18 MB |
| Age rating | 4+ | 4+ |
| Developer | Cheuk Yin Lau | Costantino Pistagna |
In-app purchases
LLM Local Client
No in-app purchases
MLX Benchmarks
No in-app purchases
Questions
Is LLM Local Client free?
Is MLX Benchmarks free?
Do LLM Local Client or MLX Benchmarks have ads?
Which is updated more often, LLM Local Client or MLX Benchmarks?
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