Model overview
**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.
Key features
特点摘要待依据来源补齐，不凭模型名称推断能力。
Limitations & considerations
Sources are insufficient to establish specific limitations. Verify task performance, latency, data policies, licensing and version lifecycle.
Source prices & cost analysis
Prices vary by channel, region and configuration. Channel quotes are listed independently and are not treated as a single official provider price.
| Source / channel | Input | Output | Billing unit | Collected at |
|---|---|---|---|---|
| No verified prices yet. Check the source channel. | ||||
Estimate monthly base token costs
Estimates exclude cache discounts, tiered pricing, multimodal surcharges, web search, taxes and additional reasoning output.
Public benchmarks & run configuration
暂无已采集的可核验公开评分。模型未上榜不代表能力较低。
View full indexed rankings →Frequently asked questions
Do open weights permit free commercial use?
Not necessarily. Check the version license, commercial conditions and usage policies. Self-hosting incurs compute and maintenance costs.
Are these real-time billing prices?
These are timestamped source snapshots, not live billing prices. Check the channel for current versions, regions, discounts and billing methods.
Sources & traceability
许可证：apache-2.0。模型介绍与第三方评测均以原来源的具体版本和方法为准。