Mohamed bin Zayed University of Artificial Intelligence (MBZUAI) in Abu Dhabi revealed K2 Think, a cost-efficient reasoning AI aiming to rival leading models from OpenAI and DeepSeek.
Though smaller in parameter count, researchers claim its performance matches those flagship systems. It employs long chain-of-thought supervised fine-tuning to deepen logical reasoning, followed by reinforcement learning with verifiable rewards to sharpen accuracy on difficult problems.
Designed as a continuously improving system rather than a static release, K2 Think runs at a speed of roughly 2,000 tokens per second, or about 1,500 words.
