3 6 Ke·2025-03-31 00:47Core Insights - The article discusses advancements in reasoning models, particularly focusing on the new visual reasoning model QvQ-Max released by Qwen, which can analyze and provide solutions based on images and videos [1]. - Gemini's 2.5 Pro Experimental model has shown significant improvements in reasoning, coding, and multimodal understanding, outperforming OpenAI's models in various benchmarks [2][3]. - The importance of reasoning capabilities is emphasized as a foundational element for achieving Artificial General Intelligence (AGI) [4]. Model Comparisons - Qwen's QvQ-Max can interpret and analyze visual content effectively, while Gemini's model excels in understanding vague instructions and producing accurate data tables [9][11]. - In a practical test involving game footage, Gemini demonstrated better accuracy in damage statistics compared to Qwen, which had issues with timing and data collection [14][19]. - The models differ in their approach to summarizing game mechanics, with Qwen focusing on skill types and Gemini analyzing based on video content [30][31]. Performance Metrics - Gemini achieved an 86.7% success rate in the AIME 2025 single attempt benchmark, while Qwen's performance was slightly lower at 84.0% [3]. - The models' reasoning capabilities were tested against various benchmarks, with Gemini scoring higher in most categories, including math and science assessments [3]. Practical Applications - The article suggests potential applications for these models in gaming, such as creating strategies based on game logs and analyzing gameplay to improve performance [7][39]. - Both models were tested on their ability to process and analyze game footage, with Gemini showing a higher accuracy rate in capturing damage values and actions taken during gameplay [19][22]. Conclusion - The advancements in reasoning models like QvQ-Max and Gemini 2.5 Pro highlight the growing capabilities of AI in understanding and analyzing complex data, particularly in multimodal contexts [1][2][4]. - The competition between these models indicates a significant push towards enhancing AI's reasoning abilities, which is crucial for future developments in AGI [4].