Technical improvements include a larger base model of approximately 2 trillion parameters trained with reinforcement learning for multi hour tasks. While the model scored 46 on the Intelligence Index, it dropped to 24th place on the Vals Index with a 54.2% score, compared to the 14th place ranking of Grok 4.6. These gains correlate with higher token consumption, with the model using 81k output tokens per Intelligence Index task, up from 36k for the previous version.
