Kimi K2 Thinking突袭，智能体&推理能力超GPT-5，网友：再次缩小开源闭源差距

Core Insights - Kimi K2 Thinking has been released and is now open-source, featuring a "model as agent" approach that allows for 200-300 consecutive tool calls without human intervention [1][3] - The model significantly narrows the gap between open-source and closed-source models, becoming a hot topic upon its launch [3][4] Technical Details - Kimi K2 Thinking has 1TB of parameters, with 32 billion activated parameters, and utilizes INT4 precision instead of FP8 [5][26] - It features a context window of 256K tokens, enhancing its reasoning and agent capabilities [5][8] - The model demonstrates improved performance in various benchmarks, achieving a state-of-the-art (SOTA) score of 44.9% in the Human Last Exam (HLE) [9][10] Performance Metrics - Kimi K2 Thinking outperformed closed-source models like GPT-5 and Claude Sonnet 4.5 in multiple benchmarks, including HLE and BrowseComp [10][18] - In the BrowseComp benchmark, where human average intelligence scored 29.2%, Kimi K2 Thinking achieved a score of 60.2%, showcasing its advanced search and browsing capabilities [18][20] - The model's agent programming capabilities have also improved, achieving a SOTA score of 93% in the ²-Bench Telecom benchmark [15] Enhanced Capabilities - The model exhibits enhanced creative writing abilities, producing clear and engaging narratives while maintaining stylistic coherence [25] - In academic and research contexts, Kimi K2 Thinking shows significant improvements in analytical depth and logical structure [25] - The model's responses to personal and emotional queries are more empathetic and nuanced, providing actionable insights [25] Quantization and Performance - Kimi K2 Thinking employs native INT4 quantization, which enhances compatibility with various hardware and improves inference speed by approximately 2 times [26][27] - The model's design allows for dynamic cycles of "thinking → searching → browsing → thinking → programming," enabling it to tackle complex, open-ended problems effectively [20] Practical Applications - The model has demonstrated its ability to solve complex problems, such as a doctoral-level math problem, through a series of reasoning and tool calls [13] - In programming tasks, Kimi K2 Thinking quickly engages in coding challenges, showcasing its practical utility in software development [36]