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iFlytek unveils Spark X2.6, claims first large model trained entirely on domestic Chinese compute
At the Oct 22 iFlytek 1024 Developers Festival: Spark X2.6 trained on all-domestic compute, 293B-A30B MoE, 1M context; the 4B on-device model goes open source with 96.1% cloud-edge collaboration efficiency.
Why it matters
iFlytek chairman Liu Qingfeng said Spark X2.6 is the industry's first large model to achieve breakthroughs in coding and agent capabilities trained entirely on domestic Chinese compute — rivals all train on Nvidia cards and at most migrate to domestic clusters afterwards, while Spark's model is the smallest of the lot. It signals domestic Chinese compute moving from "usable" to "competitive."
What was launched
At the 2026 iFlytek Global 1024 Developers Festival in Hefei on the afternoon of October 22, themed "Liberating Productivity, Unleashing Imagination," the company launched the cloud-edge integrated Spark X2.6 model. It uses a 293B-A30B parameter MoE architecture with context extended to 1M, and claims first-tier coding and agent capabilities. iFlytek says it broke through the training-efficiency bottleneck for long-horizon tasks on domestic chips, solving the poor hybrid-training efficiency caused by limited memory bandwidth on Chinese chips. API pricing is set at a limited-time 0.9 yuan per million input tokens and 3.6 yuan per million output tokens — among the cheapest in China's model market.
Edge and applications
The open-source Spark X2.6-4B on-device model launched alongside, claimed as the first edge model with a step-change in agent capability; the earlier X2.5-4B, open-sourced September 1, has entered the world's top four on-device models by downloads. A new cloud-edge collaboration architecture pushes coordination efficiency between local and cloud models to 96.1%. Also unveiled: the SparkAudio 1.0 voice foundation model (already live in iFlytek Input 16.0 and other products), a 1,299-yuan AI recording ring, the SparkAuto Space 3.0 multimodal in-car cockpit (95% accuracy on complex trip-intent understanding), and the WinWork digital-employee platform for enterprises.
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