DeepSeekR1幻觉率最高降低50%，用户喊话想要R2模型

Core Insights - The updated R1 model from DeepSeek has significantly improved its capabilities, particularly in reducing the "hallucination" rate, which previously stood at around 21% [1][4]. Model Performance - The new R1 model has achieved top-tier performance in various benchmark tests, surpassing all domestic models and nearing the performance of international leaders like o3 and Gemini-2.5-Pro [4]. - The hallucination rate has been reduced by approximately 45%-50% in tasks such as rewriting, summarization, and reading comprehension, providing more accurate and reliable results [4][18]. - In the AIME 2025 test, the model's accuracy improved from 70% to 87.5% in complex reasoning tasks [18]. Model Features and Capabilities - The updated R1 model can generate longer and more structured pieces of writing, including essays, novels, and prose, while aligning more closely with human writing styles [18]. - The model's coding capabilities have also seen significant enhancements, performing nearly on par with OpenAI's o3-high model in code testing environments [18]. - The new model has a parameter count of 685 billion and supports a context length of 128K in the open-source version [19]. Future Developments - There is considerable anticipation in the industry for the next-generation R2 model, with users expressing their eagerness for its release [19]. - DeepSeek has not commented on speculations regarding the R2 model, but the ongoing competition in the foundational model space remains intense [19].