Thinking Machines Releases Inkling-Small, Outperforms Larger Model
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 →Open-Source AI Modelsand AI Research
Every AI News story tagged with both Open-Source AI Models and AI Research — the two topics side by side, updated as new articles publish.
18 articles
Moonshot AI Unveils Kimi K3, a 2.8-Trillion-Parameter Open Model
China's Moonshot AI released Kimi K3, a 2.8-trillion-parameter open model with a 1-million-token context window — a system the company calls the world's first open 3-trillion-class AI model.
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 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 →China's GLM-5.2 Rivals US Frontier AI at One-Sixth the Cost
Z.ai has released GLM-5.2, a 744-billion-parameter open-weight model that matches GPT-5.5 on key benchmarks and trails Claude Opus 4.8 narrowly — trained entirely on Huawei silicon with no Nvidia hardware.
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 →Z.ai's GLM-5.2 Matches US Frontier AI at One-Sixth the API Cost
GLM-5.2, released on June 16 by Beijing startup Z.ai, sits alongside Claude Opus 4.8 and GPT-5.5 on coding benchmarks while carrying an API price roughly one-sixth that of closed US models.
Read more →Alibaba Releases Qwen-AgentWorld to Simulate AI Agent Environments
Alibaba's Qwen team released a language world model that learns to predict agent environment states across seven domains, offering a new approach to training AI agents without live systems.
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.
Read more →Alibaba Open-Sources AI World Model That Tops GPT-5.4 on Agent Tasks
Alibaba's Qwen team has released Qwen-AgentWorld, a family of open-source language world models that predict how digital environments respond to AI agent actions, with its 397B variant outscoring GPT-5.4 on the new AgentWorldBench benchmark.
Read more →Reflection AI Locks In $6.3B SpaceX Deal to Build Open Frontier Models
The Google DeepMind spinoff signed a three-year, $6.3 billion computing contract with SpaceX's Colossus data center, giving it the GPU scale needed to challenge closed AI giants with open-weight models.
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