Alaya Token Completes Kimi K3 Adaptation: First Open-Source 3 Trillion Parameter Model Joins Token Factory

JiuZhangYunJi DataCanvas has announced that its Alaya Token platform, a professional token-scale delivery service, has completed deep adaptation and production-grade deployment of Kimi K3. This marks another key addition to the company's "AI Factory" model ecosystem, following the integration of Zhipu GLM-5.2 and DeepSeek-V4 Flash, now covering China's leading open-source model lineup.

Kimi K3, developed by Moonshot AI, is the world's first open-source large language model with 3 trillion parameters. It employs a proprietary KDA (Kimi Delta Attention) hybrid linear attention mechanism with attention residual architecture, using a 2.8 trillion-parameter MoE design that natively supports visual understanding and offers a 100 million-token context window.

Benchmark performance places Kimi K3 at the top tier of open-source models. It achieved a score of 1679 on Frontend Code Arena, ranking first globally and surpassing Claude Fable 5. According to third-party evaluations, it scored 76.8% on SWE-bench Verified, demonstrating strong capabilities in programming, agent tasks, and complex reasoning.

Alaya Token, the core delivery vehicle of the AI Factory strategy, connects model research, intelligent packaging, and scaled delivery through its intelligent computing cluster infrastructure. It offers standardized, metered, pay-per-token AI compute services. The platform's key value proposition is an "aggregate without lock-in" ecosystem — enterprises can switch between multiple models using a single API key without purchasing separate compute plans for each model.

During the Kimi K3 adaptation, the engineering team performed low-level operator optimization and KV Cache dynamic scheduling tailored to the model's long-context characteristics, ensuring stable throughput for long-range reasoning tasks. Alaya Token currently serves high-value enterprise scenarios including financial risk control, industrial quality inspection, and code generation, advancing AI from technical validation to production-scale delivery.