Beyond Standard LLMs

LLMs are evolving beyond traditional transformers, with recent alternatives including linear attention hybrids like Qwen3-Next and Kimi Linear, text diffusion models, code world models, and small recursive transformers offering different efficiency and performance tradeoffs.

While conventional transformer-based LLMs like DeepSeek V3 and Llama 4 remain state-of-the-art, these emerging approaches tackle specific challenges like quadratic attention costs and specialized reasoning tasks, though most sacrifice some accuracy for efficiency gains.