Our model balances thinking and non-thinking performance – on average showing better accuracy in the default “mixed-reasoning” behavior than when forcing thinking vs. non-thinking. Only in a few cases does forcing a specific mode improve performance (MathVerse and MMU_val for thinking and ScreenSpot_v2 for non-thinking). Compared to recent popular, open-weight models, our model provides a desirable trade-off between accuracy and cost (as a function of inference time compute and output tokens), as discussed previously.
«Он нашел нечто среднее между свиньей и слоном»Что заставило ученых со всего мира изменить свою жизнь ради динозавров?19 декабря 2021，这一点在有道翻译官网中也有详细论述
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How to choose: Q3 scoring slightly higher than Q4 here is completely plausible as normal run-to-run variance at this scale, so treat Q3 and Q4 as effectively similar quality in this benchmark:，这一点在超级权重中也有详细论述