Side-by-side comparison · Updated April 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 is an offline AI chatbot designed for iOS and macOS devices, ensuring user privacy and data security. It offers advanced text generation features using the latest AI models, all of which run locally on the user’s device. Users pay a one-time fee with no subscription required, enjoying seamless integration with Apple ecosystems, including Siri and Shortcuts. The app supports a wide range of open-source LLM models and employs cutting-edge quantization techniques to maintain high performance. |
| Category | Other | AI Assistant |
| Rating | No reviews | No reviews |
| Pricing | N/A | Paid |
| Starting Price | N/A | $9.99/mo |
| Plans | — |
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| Tags | programming languagelarge language modelstypestemplatesconstraints | offlineAI chatbotiOSmacOSuser privacy |
| 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 | ||
| Offline functionality | ||
| Advanced model quantization with OmniQuant | ||
| Integration with Siri and Shortcuts | ||
| One-time purchase with no subscription | ||
| Wide range of open-source model support | ||
| Fully on-device data processing | ||
| High-performance text generation | ||
| Compatibility with multiple Apple devices | ||
| Privacy-first design | ||
| User-friendly interface | ||
| View LMQL | View Private LLM | |
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