DeepSeek: R1 Distill Llama 8B

DeepSeek R1 Distill Llama 8B, created on February 7, 2025, is a distilled large language model based on Llama-3.1-8B-Instruct, leveraging outputs from DeepSeek R1. This model consistently offers among the most competitive pricing, ranking in the 81st percentile across benchmarks. However, it tends to have longer response times, placing it in the 9th percentile for speed. The model demonstrates strong reliability, with an 88th percentile ranking, indicating few technical issues and consistent provision of usable responses. In terms of performance across categories, the model shows a mixed profile. It achieves strong accuracy in Coding (81.0%, 54th percentile) and Reasoning (66.0%, 61st percentile), suggesting a solid capability in these areas. Its performance in Ethics (74.0% accuracy, 21st percentile), Instruction Following (25.3% accuracy, 25th percentile), Email Classification (92.0% accuracy, 22nd percentile), and General Knowledge (72.8% accuracy, 24th percentile) is notably lower, indicating areas for potential improvement. Despite these lower percentile rankings, the model's high accuracy in Email Classification (92.0%) is a notable strength, even if its relative ranking is lower. Its key strengths lie in its cost-effectiveness and reliability, coupled with competitive performance in coding and reasoning tasks. The primary weakness is its slower processing speed and lower relative accuracy in instruction following, ethics, and general knowledge benchmarks.