According to God of Prompt on Twitter, a new 7 million parameter AI model has surpassed DeepSeek R1's 671 billion parameter model in challenging reasoning benchmarks, achieving a 45% accuracy rate compared to DeepSeek's 15.8%. The breakthrough lies in the model's iterative approach, enabling up to 16 cycles of self-correction by reasoning and improving repeatedly, unlike traditional LLMs that generate answers in a single pass. This compact model, which is trainable in hours, fits in 28MB and operates on a single GPU, also demonstrated superior performance on difficult Sudoku puzzles with 87% accuracy—outperforming both the previous best (55%) and GPT-4 (0%). The development highlights significant business opportunities for efficient, resource-light AI solutions capable of complex reasoning, particularly for enterprises seeking scalable, cost-effective models without sacrificing performance (source: @godofprompt).