ByteDance Reportedly Training 10 Trillion-Parameter AI Model to Rival Anthropic

ByteDance Reportedly Training 10 Trillion-Parameter AI Model to Rival Anthropic

ByteDance is training an AI model that could contain as many as 10 trillion parameters, according to a Financial Times report citing people familiar with the work. The TikTok parent is currently pre-training the system, which at its upper target would be more than three times the size of Moonshot AI’s 2.8 trillion-parameter Kimi K3.

The project would mark a substantial increase in model scale for ByteDance and place it above the parameter counts disclosed by other Chinese developers. Before Kimi K3 arrived, Meituan’s LongCat-2.0 and DeepSeek’s V4-Pro were among China’s largest models at 1.6 trillion parameters, while several other domestic systems have crossed the trillion-parameter mark.

Parameters are numerical values learned during training that help an AI model identify patterns, produce responses and perform tasks. Their number provides one indication of a model’s scale, but it does not by itself determine how capable the finished system will be.

Comparisons with models from Anthropic and OpenAI are particularly difficult because those companies do not publicly provide parameter counts for systems including Mythos, Fable and GPT-5.5. The Financial Times cited industry estimates that put Anthropic’s Mythos 5 at roughly 8 trillion parameters and Fable 5 at about 5 trillion. If ByteDance reaches the reported 10 trillion target, its model would be similar in scale to Mythos while exceeding those estimates.

The model is still at an early stage of development. According to the Financial Times, it is undergoing pre-training, which typically takes between three and six months. Fine-tuning would follow before any eventual release.

That leaves important details unresolved, including the final size of the system and how its performance will compare with existing models. Reuters said it could not independently confirm the Financial Times report, and ByteDance did not immediately respond to its request for comment.

The reported training effort comes as Chinese technology companies continue increasing the scale of their AI systems. Moonshot’s Kimi K3 pushed publicly reported model size to 2.8 trillion parameters, while Meituan, DeepSeek and other developers have also built models containing more than one trillion.

ByteDance’s reported project would take that scaling effort considerably further. A 10 trillion-parameter system would not automatically establish that the company has built a more capable model, but it would represent a sharp increase in the amount of model capacity ByteDance is pursuing.

For now, the clearest measure of the project is its proposed scale. With pre-training still underway and ByteDance yet to publicly detail the system, its eventual capabilities will remain unknown until the company completes development and provides more information about the finished model.

This analysis is based on reporting from Yahoo Finance.

Image courtesy of International The News.

This article was generated with AI assistance and reviewed for accuracy and quality.

Last updated: August 7, 2026

About this article: This article was generated with AI assistance and reviewed by our editorial team to ensure it follows our editorial standards for accuracy and independence. We maintain strict fact-checking protocols and cite all sources.

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