
原帖内容
WE COULD NOT BELIEVE IT WHEN WE SAW THIS We were curious about Kimi K3's massive jump in consumed thinking tokens After taking a closer look, we found that Kimi K3 devotes 10x more thinking tokens to coding during reasoning than any other model we've seen before Not only that, but it has basically memorized all of the image IDs from Unsplash and, without a web search tool call, can reason about images with a higher accuracy than we've seen from any other model The image and video below are visualizations of its (very long) thinking trace for single-turn generation The resulting website selects images with greater relevance and accuracy than we've ever seen on DesignArena Forgive my all-caps heading, but I am excited about this and wanted you to read it too bc this is pretty gnarly Huge congratulations to the @Kimi_Moonshot team for this breakthrough and becoming the 1st-place model on @DesignArena!








