The Shanghai-based AI startup StartLux, founded less than five months ago, has introduced a fully open-source decision-making model named StartLux-Decision. In 38 benchmark tests of Decision Index 0.2.1, this model outperformed the widely recognized Jev model across 31 categories, achieving a nearly 6-point lead in the overall score. In a series of 36 chess games, it clinched victory in 35, establishing itself as the world's most powerful open-source decision-making model according to current public evaluations. StartLux-Decision is available in five parameter-scale versions along with their corresponding quantized models, facilitating local deployment. Designed specifically for high-frequency judgment scenarios, it boasts rapid response times and minimal calling costs, effectively filling the high-frequency decision-making niche within local intelligent systems. It operates in synergy with general large models to enhance overall operational efficiency. The model's development was remarkably swift, with the first round of R&D validation completed in just three days from project initiation. This efficiency was made possible by the team's well-established Auto Research heterogeneous multi-model collaborative R&D system, which has now reached the RSI Level 3 stage. This release marks a significant step in the implementation of StartLux's local intelligent system architecture. The team is committed to further advancing system integration, with the first public-facing local intelligent experience version anticipated to launch within the year.