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A.X-K2

**A.X K2** is a large-scale Mixture-of-Experts (MoE) language model trained from scratch as a high-performance, **agentic** foundation model, and the successor to A.X K1. The model contains **688 billion total parameters**, with **33 billion active parameters**, delivering strong reasoning and instruction-following performance while maintaining practical inference efficiency. Through a **Think-Fusion** training recipe, a single unified model supports both a **thinking** mode for complex problem solving and a **non-thinking** mode for concise, low-latency responses, allowing the user to trade quality for cost on a per-request basis. A.X K2 is developed as part of the Korean government's **Sovereign AI foundation model** project, aiming to build a frontier-scale model with deep understanding of the Korean language and culture.

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**A.X K2** is a large-scale Mixture-of-Experts (MoE) language model trained from scratch as a high-performance, **agentic** foundation model, and the successor to A.X K1. The model contains **688 billion total parameters**, with **33 billion active parameters**, delivering strong reasoning and instruction-following performance while maintaining practical inference efficiency. Through a **Think-Fusion** training recipe, a single unified model supports both a **thinking** mode for complex problem solving and a **non-thinking** mode for concise, low-latency responses, allowing the user to trade quality for cost on a per-request basis. A.X K2 is developed as part of the Korean government's **Sovereign AI foundation model** project, aiming to build a frontier-scale model with deep understanding of the Korean language and culture.

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