Open releases such as GLM 5.3 Flash and Mistral Large 4 surpass proprietary rivals in key benchmarks, while Qwen image variants and open decision models broaden the open AI portfolio.
Microsoft has released AesCode, models with 8 and 32 billion parameters that generate slides, posters, and dashboards as HTML/CSS code. Unlike image generators, they separate semantic requirements from aesthetic references through graph-structured su...
Nandakishor M. has released Vega, a physics-based typed decision model with 800 million parameters (a 4B variant is available), support for 73,000 tokens and images, and single-shot results that surpass many JEV benchmarks. The Test-Time Training arc...
Two open models lead the Artificial Analysis Cyber Index and outperform every single Anthropic model. The overtake is not just a ranking: it shifts the TCO calculation from API fees to on-premise infrastructure, reopening the debate on data sovereign...
Two open-source models hold the top positions on the Artificial Analysis Cyber Index, ahead of every Anthropic model. GLM 5.3 Flash leads; Mistral Large 4 also ranks better than its closed rivals. For those evaluating on-premise deployment, the shift...
The new accelerated checkpoint in the Qwen family generates and edits images in eight denoising steps. Open weights, a ready Diffusers pipeline and the same 7B visual architecture as Qwen-Image-2.1. Fewer iterations means faster inference, while the ...
Hirundo has released westernized versions of Qwen3.6-35B-A3B and Qwen3.5-4B, using machine unlearning to remove CCP political alignment from the weights. On the internal CCPC-500 benchmark, censorship drops from 89.8% to 2.8% for the 35B model; indep...
