Overview

• MBZUAI and G42 launched K2 Think as a specialized reasoning system built on Alibaba’s Qwen 2.5 and deployed on Cerebras hardware.
• Researchers report performance comparable to larger OpenAI and DeepSeek systems on benchmarks including AIME24/25, HMMT25, OMNI-Math-HARD, LiveCodeBenchv5, and GPQA-Diamond, with independent validation still pending.
• MBZUAI says the model achieves high throughput of roughly 2,000 tokens per second on Cerebras’ platform using optimizations such as speculative decoding.
• The release includes training data, weights, and deployment code, positioning K2 Think as a fully open resource available on K2Think.ai and Hugging Face.
• Designed for math, coding, and scientific research rather than general chat, the system is slated to be integrated into a full large language model in the coming months.