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Local large language models took another leap this summer. Beyond faster chips, we saw real progress in platform support, in‑browser inference, friendlier tools, and model efficiency. Here’s what changed—and how to take advantage of it on iPhone and Mac.

Choosing the “right size” model has changed a lot since last year. In 2025, training recipes, data quality, and smarter architectures often matter more than raw parameter count. This guide updates our most-read piece with the latest facts, practical device picks, and a simple decision flow you can use today.

The AI world was rocked this week when OpenAI officially announced their most surprising move yet: GPT-OSS, a family of powerful open source AI models that marks the company’s dramatic return to its open roots. After years of keeping their most advanced models behind closed doors, OpenAI has revealed what could be the most significant open source AI breakthrough since Meta’s Llama series.

Just when the AI world seemed to have settled into a rhythm of bigger and bigger transformer models, Liquid AI has once again shaken things up. Following the success of their first-generation models, the company has just unveiled the LFM-2 series—a new family of Liquid Foundation Models that represents a major leap forward in efficient, powerful, and private AI.

The landscape of local AI has transformed dramatically in 2025, with powerful language models now running seamlessly on iPhones and Macs. From Apple’s latest neural engines to the unified memory architecture of Apple Silicon, our devices have become capable AI powerhouses that rival cloud-based solutions while keeping your data completely private.

The next wave of on-device artificial intelligence has arrived. We are incredibly excited to announce that Google’s revolutionary Gemma 3n model is now fully integrated into Enclave AI for both iOS and macOS.

We are incredibly excited to announce a groundbreaking new feature for Enclave AI on iOS: Direct Hugging Face GGUF Model Search and Integration! This powerful update empowers you to explore and utilize a virtually limitless library of open-source GGUF models, all while maintaining Enclave AI’s signature on-device processing and complete privacy.

We are thrilled to announce the integration of the cutting-edge Qwen3 family of large language models into Enclave AI. This update brings powerful new capabilities, including innovative Mixture-of-Experts (MoE) architectures and unique hybrid thinking modes, directly to your device while upholding our core commitment to absolute privacy.

We’re excited to announce that Enclave AI now supports Google’s groundbreaking Gemma 3 family of models on iOS, with full macOS support coming soon. This integration brings unprecedented capabilities to your device while maintaining our unwavering commitment to privacy and offline processing.

We’re excited to announce a major enhancement to Enclave AI’s integration with Apple Shortcuts: the ability to select specific AI models for your automations. This powerful update, now available on both iOS and macOS, gives you unprecedented control over your AI-powered workflows.