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Qwen introduces RecreationBench for hybrid computer-use agents

ModelScope

ModelScope said Qwen has introduced RecreationBench, a benchmark for Hybrid Computer-Use Agents with 250 application-recreation tasks across Ubuntu, macOS, Windows, Android, and Web. The tasks span domains such as productivity, development, graphics, multimedia, and science.

Unlike GUI-only or terminal-only benchmarks, agents must explore a running reference app, recreate it in code, and pass both programmatic tests and VLM-based visual evaluation. The dataset is available at https://modelscope.ai/datasets/Qwen/RecreationBench.

#qwen#recreationbench#computer-use-agents#benchmark#modelscope

inclusionAI open-sources two 6B Ming-Image-0.1-Design models

inclusionAI has open-sourced the Ming-Image-0.1-Design family under the MIT License: two complementary 6B models, Design and Layer, for visual-design workflows. ModelScope says Design ranks first among open-weight models on the Artificial Analysis UI/UX Design leaderboard, and that Layer leads all 12 evaluated Crello settings while running 4.3× faster than the evaluated 20B open-weight baseline.