Seek .(US:SKLTY) Di Yi Cai Jing·2025-12-01 23:13Core Insights - DeepSeek has launched two new models, DeepSeek-V3.2 and DeepSeek-V3.2-Speciale, which are positioned to compete with leading proprietary models like GPT-5 and Gemini 3.0, showcasing significant advancements in reasoning capabilities [1][4]. Model Overview - DeepSeek-V3.2 aims to balance reasoning ability and output length, making it suitable for everyday applications such as Q&A and general intelligence tasks. It has achieved performance levels comparable to GPT-5 and is slightly below Google's Gemini 3 Pro in public reasoning tests [4]. - DeepSeek-V3.2-Speciale is designed to push the limits of reasoning capabilities, integrating enhanced long-thinking features and theorem-proving abilities from DeepSeek-Math-V2. It has surpassed Gemini 3 Pro in several reasoning benchmarks, including prestigious math competitions [4][5]. Benchmark Performance - In various benchmarks, DeepSeek models have shown competitive results: - AIME 2025: DeepSeek-V3.2 scored 93.1, while GPT-5 and Gemini-3.0 scored 94.6 and 95.0 respectively [5]. - Harvard MIT Math Competition: DeepSeek-V3.2-Speciale scored 92.5, outperforming Gemini 3 Pro's 97.5 [5]. - International Math Olympiad: DeepSeek-V3.2-Speciale scored 78.3, close to Gemini 3 Pro's 83.3 [5]. Limitations and Future Plans - Despite these achievements, DeepSeek acknowledges limitations compared to proprietary models, including narrower world knowledge and lower token efficiency. The team plans to enhance pre-training and optimize reasoning chains to improve model performance [6][7]. - DeepSeek has identified three key areas where open-source models lag behind proprietary ones: reliance on standard attention mechanisms, insufficient computational resources during post-training, and gaps in generalization and instruction-following capabilities [7]. Technological Innovations - DeepSeek has introduced a sparse attention mechanism (DSA) to reduce computational complexity without sacrificing long-context performance. This innovation has been integrated into the new models, contributing to significant performance improvements [7]. Availability - The official website, app, and API for DeepSeek-V3.2 have been updated, while the enhanced Speciale version is currently available only through a temporary API for community evaluation [8]. Community Reception - The release has been positively received in social media, with users noting that DeepSeek's models have effectively matched the capabilities of GPT-5 and Gemini 3 Pro, highlighting the importance of rigorous engineering design over sheer parameter size [9].