Dedicated exploration models (4B–30B parameters) can handle code search in repositories more efficiently than general solver models while significantly reducing context pollution.
Optical reasoning uses images as the primary reasoning medium, saving an average of 28.57 percent tokens on language tasks and 16 percent on multimodal tasks.
