Everyone is wrong about this model. While the internet is obsessing over benchmark scores, here's the actual alpha: raw benchmarks are a vanity metric. GPT-4 crushed MMLU. Gemini Ultra flexed on HumanEval. Developers still hit the same walls. The real story? Context window efficiency and tool-use reliability. Most models hallucinate tool calls at scale — broken API chains, failed conditionals, der…