Best MLX Alternatives in 2026

LM Studio is the most widely used desktop app for running open-weight language models locally. Free for personal and work use, it offers a GGUF and MLX model browser, built-in chat UI, and a local OpenAI-compatible API server across Mac, Windows, and Linux.

llama.cpp is the open-source C++ inference engine that powers Ollama, LM Studio, and most local LLM tooling. Created by Georgi Gerganov in 2023, it runs 50+ model architectures on any hardware, including consumer laptops and Raspberry Pis.

vLLM is an open-source LLM inference library from UC Berkeley that delivers high-throughput, memory-efficient serving for hundreds of open models. Free under Apache 2.0, with an OpenAI-compatible API and support for multi-GPU deployments.

Hugging Face is the world's largest open-source AI platform, hosting 2 million models, 500,000 datasets, and 1 million Spaces apps. It is the foundational hub where researchers and developers discover, fine-tune, and deploy models across every AI domain.

Jan is a free, open-source desktop app by Menlo Research that runs large language models entirely on your own hardware. No cloud, no subscriptions, no data leaving your machine. Supports Llama, Qwen, Mistral, Gemma, and dozens more GGUF models on Windows, macOS, and Linux.

Gemma is Google DeepMind's family of open-weight language models, downloadable and self-hostable for free. Gemma 4 (April 2026) delivers frontier-level reasoning and multimodal capabilities under an Apache 2.0 license, from 2B edge models to a 31B dense flagship.

Llama is Meta's family of open-weight language models, from the 2023 originals through Llama 4's multimodal MoE releases. Free to download and self-host, the models power thousands of derived tools and enterprise pipelines worldwide.

LocalAI is a free, open-source AI engine by Ettore Di Giacinto that runs any model locally with a drop-in OpenAI-compatible API. No cloud, no GPU required, and no data leaves your hardware.

Microsoft's Phi family proves data quality beats scale. The Phi-4 generation (14B, MIT license) punches above its weight on math and reasoning, and runs on consumer hardware. Free to download, with paid hosted inference on Azure AI Foundry.

Zhipu GLM is an open-weight large language model family from Beijing-based Z.ai (Zhipu AI), built on a mixture-of-experts architecture. MIT licensed and self-hostable, the GLM-4.5 and GLM-4.6 generations offer 200K-token context, free API flash tiers, and benchmark results competitive with Claude and DeepSeek.