Open-Weight LLM Showdown: Qwen3, Llama 4, GLM-5, and Gemma 3 on Real Hardware
Forget the marketing - here's how the latest open-weight models actually perform on your GPU, from 8GB budget cards to 24GB workstations.
Category
Local AI
Local AI Showdown: The Best Open-Weight Models for Your Hardware in February 2026
A tier-by-tier comparison of the top open-weight LLMs you can run locally, from 8GB laptops to 24GB gaming GPUs to Apple Silicon Macs.
Alibaba's Qwen 3.5: Open Weights With Caveats
Qwen 3.5 offers a 397B MoE flagship and smaller local models under Apache 2.0, but Alibaba's benchmarks need independent testing.
Cohere's Tiny Aya: 70-Language AI That Runs on Your Phone Without Internet
A 3.35B parameter multilingual model outperforms larger competitors on underserved languages - and runs locally on consumer hardware. Privacy-first AI for the rest of the world.
Alibaba's RynnBrain: Open-Source AI That Teaches Robots to See and Think
Alibaba released RynnBrain, an open-source AI model that gives robots spatial awareness and physical reasoning. It beats Google and Nvidia on 16 benchmarks while running on just 3 billion active parameters.
This Open Source AI Does Literature Reviews Better Than GPT-4o - And You Can Run It Yourself
OpenScholar matches human expert citation accuracy while GPT-4o fabricates sources 78-90% of the time. The code, models, and 45 million paper corpus are all free to use.
Tiiny AI Pocket Lab: Scrutinizing Its 120B Claim
Tiiny AI says its 300-gram Pocket Lab runs 120B models locally. The design is plausible, but performance and privacy claims remain unverified.