Mistral AI Releases Shieldstral, an Open-Weight Safety Classifier
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 →Open-Weight Modelsand AI Tools
Every AI News story tagged with both Open-Weight Models and AI Tools — the two topics side by side, updated as new articles publish.
13 articles
Poolside Releases Laguna S 2.1, an Open-Weight Coding Model
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 →PrismML's Bonsai 27B Becomes First 27B AI Model to Run on a Phone
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 →Thinking Machines Lab Releases Inkling, an Open-Weight AI Model
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.
Read more →
What Is DeepSeek? The Chinese AI Lab That Rattled Silicon Valley
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 →What Is Meta AI? Llama vs. Muse, Explained
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 →What Is GLM? Zhipu AI's Open-Weight Model Family, Explained
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.
Read more →Mistral Releases Leanstral 1.5 to Automate Math Proofs and Code Verification
Mistral's new open-source model for Lean 4 fully saturates the miniF2F theorem benchmark, solves 87% of graduate-level math tests, and found five previously unknown bugs in production code — at roughly $4 per proof versus $300 for competing systems.
Read more →Meituan Open-Sources LongCat-2.0, a Frontier-Class Coding Model Built on Chinese Chips
Chinese technology company Meituan has released LongCat-2.0, a 1.6-trillion-parameter coding model trained entirely on domestic Chinese chips, under the MIT License — the first frontier-class open-source model built without Western semiconductors.
Read more →What Is an Open-Weight AI Model — and How Does It Differ from Closed AI?
Open-weight AI models release their trained parameters publicly so anyone can download, run, or fine-tune them — unlike closed models such as GPT-4 or Gemini, which are accessible only through paid APIs. Here is what that difference means in practice.
Read more →What Is Qwen? Alibaba's Open AI Model Family Explained
Qwen (Tongyi Qianwen) is Alibaba Cloud's family of open-weight AI models — covering language, code, vision, audio, and more — and the world's most-downloaded AI model series as of 2026.
Read more →Liquid AI Ships 230M Open Model for On-Device AI Agents
Liquid AI released LFM2.5-230M, a 230-million-parameter open-weight model that runs AI agent tasks at 213 tokens per second on a phone CPU and 42 tokens per second on a Raspberry Pi — without a cloud connection.
Read more →Zhipu AI's GLM-5.2 Beats GPT-5.5 on Coding at a Sixth of the Price
Chinese lab Zhipu AI has open-sourced GLM-5.2, a 753-billion-parameter model that outperforms GPT-5.5 on software engineering benchmarks while costing roughly one-sixth as much.
Read more →