Flow Reasoning Models hit 99.5% on Sudoku-Extreme with 44× fewer inference FLOPs
mark_k · x · 2026-09-05
Flow Reasoning Models (FRMs) take a new approach to AI reasoning: instead of generating a solution sequentially, the model repeatedly refines the entire solution, reconsidering and correcting its own decisions until convergence. Results: 99.5% on Sudoku-Extreme, 100% on Zebra, 99.9% on Maze-Unique — matching the 98.7% solve rate of the next-best Sudoku method with 44× fewer inference FLOPs. Iterative self-refinement may scale reasoning without brute-forcing inference compute.
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