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OpenAI's models traditionally score higher on coding benchmarks using a FRACTION of the tokens of other models, especially Gemini's 250k per task average, and that's the benefit of the "Grug speak" theory of model efficiency that was leaked in certain GPT 5.5 reasoning traces. Ya'll said you missed technical deep dives so here's one for you ...
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