Benchmark results for the Llama 3.1 model series have reportedly been leaked on Azure's GitHub account, showcasing three versions: 405 billion parameters, 70 billion parameters, and 8 billion parameters. The 405 billion parameter model is particularly notable, as it is suggested to outperform the GPT-4o model while being significantly smaller in size. The 70 billion parameter version is claimed to match GPT-4's performance, raising expectations for its efficiency and cost-effectiveness. The authenticity of these benchmarks remains unconfirmed, and discussions surrounding their implications are ongoing within the AI community.