OpenPipe Mixture of Agents: Outperform GPT-4 at 1/25th the Cost

The OpenPipe Mixture of Agents (MoA) model has been developed and released, achieving state-of-the-art results on various benchmarks compared to GPT-4, a leading large language model. The MoA model is designed as a drop-in replacement for GPT-4 and can be used for generating synthetic training data, fine-tuning smaller models, and improving response quality. It has been benchmarked across open-source and private benchmarks, including Arena Hard Auto and AlpacaEval 2.0, where it outperformed GPT-4 variants in many cases. The MoA model is also 1/25th the cost and 3x faster than GPT-4-Turbo, making it an attractive option for those looking to improve their models without breaking the bank. The OpenPipe platform provides a way to use the MoA model through its Chat Completions endpoint or as a relabeling model for fine-tuning smaller models.