This isn't exactly a new model but it deserves recognition. A 3B Model called VibeThinker, beats models like Opus 4.5 and Gemini 3 Pro. While these aren't the latest frontier models, it gives us an idea of how open source will catch up and then beat frontier models while also being able to run on consumer level hardware, maybe not now, not in the next year either, but within the next 5 years? Definitely possible. It was built on top of Qwen 2.5 3B (Not even the latest low parameter qwen model either), and focused directly on reasoning tasks. Now the use case this model provides is very specific, it's mainly meant for generating outputs that have a direct Yes/No as an answer. Now that brings up the question, for most of the ICM systems where you aren't directly creating new software or having AI do insane tasks such as editing videos from scratch with animations and such, how far are we from removing frontier models entirely from our ICM systems? I would say that setting up the ICM folder and workflows inside of it can be given to one of the top models, but if the ICM is set up properly, it's a step by step workflow that doesn't change, the results do, but the steps to make the results don't (assuming this under the average use case of the ICM). So if a model is able to achieve something like this, we aren't that far from having tiny hyper focused/fine-tuned models or a cluster of tiny models for a specific use case being implemented into our daily lives. A model for content writing, a model for deep research, a model for front end HTML visual explanation pages. That's exactly what I'm on a mission to build, let's see how it works out. Might be a cluster of fine tuned models, or just a really smart MoE model.

Over time LLM have been getting better and solving Mathematical problems in different ways. I follow this guy (Yes I am a nerd) but he does a good job of explaining things. If you want to see how AI has helped the math field, watch it.