LMQL vs Private LLM
Side-by-side comparison · Updated September 2026
| Description | LMQL is a programming language tailored for large language models (LLMs). It offers robust and modular LLM prompting through the use of types, templates, constraints, and an optimizing runtime. It simplifies the creation of complex prompts by allowing procedural programming techniques in a query-like syntax. Created by the SRI Lab at ETH Zurich, LMQL supports features such as nested queries, scripted prompting, and custom constraints. It also provides a Playground IDE for ease of use. | Private LLM runs text-based AI models locally on supported iPhones, iPads and Macs. It is a useful alternative for personal writing, summaries and questions when you want an on-device assistant instead of a hosted team workspace. Download a suitable model first; supported models and performance depend on your device and available memory. The US App Store lists a one-time price of $4.99. The developer describes access across supported Apple platforms with Family Sharing for up to six people and no subscription. Check your own store region for the current price and device requirements. Siri and Apple Shortcuts integration can connect the assistant to your existing workflows. The app privacy policy says conversations stay on-device and are not collected by the developer. This is distinct from the product website, which has analytics and a support form, and from the network requests needed to download models. Local processing is useful for controlling your chat data, but it does not establish that every model answer is correct or that every model will run well on every device. |
| Category | Other | AI Assistant |
| Rating | No reviews | No reviews |
| Pricing | Pricing unavailable | Paid |
| Starting Price | N/A | $4.99 in the US App Store |
| Plans | — |
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| Tags | programming languagelarge language modelstypestemplatesconstraints | local AIoffline chatiPhoneiPadMac |
| Features | ||
| Nested Queries | ||
| Scripted Prompting | ||
| Custom Constraints | ||
| Optimizing Runtime | ||
| Playground IDE | ||
| Local Model Support | ||
| Tool Augmentation | ||
| High-level Constraint Management | ||
| Sequential Query Execution | ||
| Integration with Popular Libraries | ||
| On-device text-based language models | ||
| iPhone, iPad and Mac support | ||
| Offline chat after model download | ||
| Siri and Apple Shortcuts integration | ||
| Customizable system prompts | ||
| One-time purchase without a subscription | ||
| Family Sharing for up to six people | ||
| Conversation export as PDF or text | ||
| View LMQL | View Private LLM | |
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