ByteDance Trains 10-Trillion-Parameter AI Model, Nearing Anthropic's Top System

ByteDance Trains 10-Trillion-Parameter AI Model, Nearing Anthropic's Top System

N
News Editor
2026-08-07 06:22:00
ByteDance is training a massive AI model whose scale could rival Anthropic's most advanced Mythos system, according to the Financial Times. Three people familiar with the matter said the model may reach 10 trillion parameters, roughly three times the size of Moonshot's Kimi K3, currently China's largest released model. One source said the model is in pretraining, a phase that typically lasts three to six months, followed by fine-tuning and release. Anthropic has not disclosed its parameter counts, though industry estimates put Mythos 5 at around 8 trillion and Fable 5 at about 5 trillion.

ByteDance is training an AI model whose scale could approach Anthropic's most advanced Mythos system, the Financial Times reported, as Chinese companies continue to narrow the gap with top U.S. AI labs.

Three people familiar with the matter said the Chinese tech giant is in the early stages of training an ultra-large-scale model that could reach 10 trillion parameters — roughly three times the size of Kimi K3, the largest model released so far in China, developed by Moonshot AI.

One of the sources said the model is currently undergoing pretraining, a phase that typically lasts three to six months. If all goes well, fine-tuning and a release would follow. The exact scale is expected to be finalized at a later stage.

Anthropic has not publicly disclosed its model sizes. Industry estimates, however, indicate that its most advanced Mythos 5 model carries around 8 trillion parameters, while Fable 5 has about 5 trillion.

It is worth noting that parameter count dictates a model's base capacity for storing information, or its memory ceiling — but real-world performance also depends on other factors such as data quality and training methodology.

This article was originally published by Bit.Fan. For more cryptocurrency news and market insights, visit www.bit.fan.
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