ByteDance is going big, in the most literal sense. The owner of TikTok is training an AI model with around 10 trillion parameters, a scale that would put it among the largest ever built, and it is not hiding what it wants that scale for.
According to the Financial Times, the model is meant to rival Anthropic’s Mythos, one of the frontier systems that Chinese developers have so far struggled to match.
The size is itself the statement. At roughly 10 trillion parameters, the model would be more than three times as large as Moonshot’s Kimi K3, which sits among the biggest Chinese models today at about 2.8 trillion.
That gap is not a rounding difference; it is the kind of leap that reorders where a model ranks against the field. It is still early, though: the project is said to be in the early pre-training phase, a stage that can take three to six months, with fine-tuning and further work to come before anything is released.
Parameter count is not everything, of course. Bigger models are not automatically better, and the industry has learned that data quality, training technique and efficiency often matter as much as raw scale.
