DeepSeek: DeepSeek V3.1

DeepSeek-V3.1, a 671B parameter hybrid reasoning model, demonstrates a balanced performance profile with notable strengths in reliability and accuracy across various tasks. While its speed performance is moderate, ranking in the 27th percentile, it offers competitive pricing, placing in the 58th percentile. A standout feature is its exceptional reliability, achieving a 100% success rate across all benchmarks, indicating consistent and dependable operation. In terms of accuracy, DeepSeek-V3.1 excels in several categories. It achieved perfect accuracy in the Ethics (Baseline) benchmark, making it the most accurate model at its price point and among models of comparable speed. It also showed strong performance in General Knowledge (99.5% accuracy, 83rd percentile) and Email Classification (98.0% accuracy, 66th percentile). Its instruction following capabilities are robust (70.0% accuracy, 82nd percentile), and it performs well in Coding (89.0% accuracy, 75th percentile) and Reasoning (78.0% accuracy, 75th percentile). The model's design, incorporating a two-phase long-context training process and FP8 microscaling, contributes to its efficiency and broad applicability in research, coding, and agentic workflows.