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Open-weight AI describes models whose trained parameters are released for anyone to download and run, even when the training data, code, or license don’t meet the stricter definition of open source. This hub tracks open-weight model releases, the labs behind them, and how they differ from fully open-source and closed, API-only models.
Alibaba's Tongyi Lab released Qwen3.8-27B, a 27.8-billion-parameter open-weight model that beats its predecessor on coding and reasoning benchmarks while fitting on a single high-end GPU.
Read more →Meta released Muse Glimmer, a 30-billion-parameter open-weight model that runs AI agents locally on a single consumer GPU, under an Apache 2.0 license.
Read more →The U.S. Department of Energy opened a program to build open-weight AI models for scientific research, starting with Genesis-Science-1, developed with startup Arcee AI.
Read more →Liquid AI has released LFM2.5-2.6B, an open-weight model small enough to run on a phone or laptop while handling multi-step AI agent tasks offline.
Read more →Mistral AI has open-sourced Shieldstral, a 3-billion-parameter model that moderates text and images against custom, plain-language policies without retraining.
Read more →Thinking Machines Lab's second open-weight model needs a quarter of its predecessor's active parameters yet edges past it on reasoning and coding benchmarks.
Read more →LG AI Research released K-EXAONE 2.0, a 750-billion-parameter open-weight model under the Apache 2.0 license, aiming to rival Chinese and US frontier AI labs.
Read more →Anthropic CEO Dario Amodei said in a July 27 blog post that the company has never called for banning open-weight AI models, urging chip controls and mandatory safety testing instead.
Read more →Beijing-based Moonshot AI has published the full open weights for Kimi K3, a 2.8-trillion-parameter model it calls the largest open model released to date.
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Poolside is a startup that builds AI models trained specifically to write and fix code, then gives the weights away for free. Here's who is behind it and how the models work.
Read more →Poolside's new 118-billion-parameter Laguna S 2.1 matches or beats far larger rivals on agentic coding benchmarks and ships under an open license.
Read more →Nvidia CEO Jensen Huang used his first-ever X post to unveil a letter — now signed by 50 firms including Google, Meta and OpenAI — urging Washington not to restrict open-weight AI models.
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FLUX is Black Forest Labs' family of AI image and video models, usable through a free browser Playground, a paid API, or open-weight downloads. Here's what it is and how to try it.
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Mistral AI is the Paris-based lab racing to build Europe's answer to OpenAI and Anthropic — known for releasing open-weight models and for its 'sovereign AI' pitch to European governments.
Read more →Moonshot AI has paused new sign-ups for its Kimi K3 chatbot after demand outpaced its GPU capacity within days of launch, while keeping its July 27 open-weight release on schedule.
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Kimi K3 is a giant open-weight AI model from China's Moonshot AI. Here's what it is, who built it, and why its release rattled Nvidia and chip investors.
Read more →PrismML has released Bonsai 27B, a 27-billion-parameter open-weight model compressed to under 4GB, small enough to run natively on a phone while keeping most of its reasoning ability.
Read more →Mira Murati's startup released Inkling, a 975-billion-parameter open-weight model built for developers to fine-tune and adapt, rather than to top leaderboards.
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DeepSeek is the Chinese AI lab whose cheaply trained, open-weight models triggered Nvidia's biggest one-day stock drop and reshaped how the industry talks about AI costs.
Read more →Meta now builds two separate AI model families: the open-weight Llama and the new proprietary Muse. Here's how they differ, and how to try either one.
Read more →GLM is the open-weight AI model family from Chinese lab Zhipu AI (Z.ai) — free to download and self-host, and competitive with top US models at a fraction of the API cost.
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