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-Source AI Modelsand AI Tools
Every AI News story tagged with both Open-Source AI Models and AI Tools — the two topics side by side, updated as new articles publish.
15 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.
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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 →Meituan Reveals LongCat-2.0: The Stealth AI That Secretly Led Global Charts
Chinese tech company Meituan has disclosed that "Owl Alpha," an anonymous model that topped OpenRouter rankings for two months, was its 1.6-trillion-parameter LongCat-2.0 — trained entirely on domestic chips and now free under an MIT license.
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 →What Are Open-Source AI Models — and Why Do They Matter?
Open-source AI models release their trained weights publicly, letting anyone run, study, or customize them without paying API fees. This guide explains what that means in practice and how to get started.
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.
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