Even if V4.1F lands around 43-45, the real structural divergence isn’t the benchmark score—it’s the Intelligence-per-Dollar & Tokens-per-Watt equation.
Meta’s Muse Spark Open requires an 816B footprint (42B active) just to scratch 39, burning massive multi-node interconnect overhead and blowing up KV Cache memory bandwidth.DeepSeek’s architectural moat continues to be algorithmic compression: using MLA and fine-grained routing to extract frontier-grade reasoning at a fraction of the serving TCO.
Benchmarks measure capability; markets price inference economics.