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Jiyuan Ludong has released NeoHorse-1.5-Flash Preview, an agent-native model built on Qwen3.8-Flash with 180B total parameters and 6B activated parameters. The model is designed to enhance agent task execution and software engineering capabilities, and is now available for limited beta testing. Comparative evaluations show that it scores significantly higher than the base model across multiple tasks. This release marks the second cycle of the NeoHorse series' exploration into recursive self-improvement. It leverages the Jiyuan Ludong multi-model platform and the open-source agent product OpenSquilla to identify capability gaps and set training priorities. One day after the model release, OpenSquilla received a synchronized update adding several practical features, enabling users to preview the application without upgrading the client.
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