Oct 25, 03:51 PM

Open-Source LLMs Outperform GPT-4 by 20% and Cost $1.50 per Million Tokens; GPT-4o Costs $4.38

Recent developments in the field of large language models (LLMs) highlight significant advancements in cost efficiency and performance. A cost-optimization sprint revealed that GPT-4o operates at a cost of $4.38 per million tokens, while open-source models can be utilized for as low as $1.50 per million tokens. Additionally, fine-tuning open-source models, such as Meta's Llama 3.1, has shown to outperform commercial models like GPT-4 by nearly 20% across 30 benchmark tasks. This trend underscores the growing competitiveness of open-source LLMs against established commercial counterparts. Furthermore, new strategies for optimizing LLM inference, including the KVSharer method, are being researched to enhance efficiency in cache optimization.

#Meta #Llama #KVSharer

Written with ChatGPT (GPT-4o mini).