GLM-5.3-Flash runs entirely on Chinese AI chips

Overview Debates Related claims Topics Sources

In the workplace, AI can make work easier and help get tasks done

On October 23, 2026, Beijing-based Moonshot AI released Kimi K3.1 Pro, the first model in its K3.1 series, featuring a 1-million-token context window

Global publishers are increasingly challenging artificial intelligence developers using copyrighted material without permission for large language model training under fair-use arguments

Kimi K3.1 Pro is a 2.8-trillion total parameter Mixture-of-Experts model that activates 104 billion parameters across 16 of 896 experts using a Stable LatentMoE framework

Moonshot AI released Kimi K3.1 Pro Highspeed alongside Kimi K3.1 Pro, which runs two to three times faster according to official company statements

Kimi K3.1 Pro Highspeed API pricing is set at $4.00 per million input tokens and $20.00 per million output tokens, compared to Kimi K3's rates of $3.00 input and $15.00 output

Kimi K3.1 Pro builds on the base K3 architecture utilizing Kimi Delta Attention and Attention Residuals, trained with joint reinforcement learning across hundreds of downstream domains

Moonshot AI set API pricing for Kimi K3.1 Pro at $2.00 per million input tokens and $10.00 per million output tokens, with cache hits costing $0.20 per million tokens

AI-first workflows reduce human developers to supervisors of automated output

Chinese AI company MiniMax released MiniMax M3.1 Flash on October 19, 2026, featuring 428 billion total parameters, about 23 billion active parameters in a mixture-of-experts architecture, and a 1,000,000-token context window.

MiniMax reported that MiniMax M3.1 Flash operates about three times faster than MiniMax M3, with median output speeds consistently exceeding 170 tokens per second.

MiniMax M3.1 Flash API pricing is set at $0.15 per million input tokens and $0.60 per million output tokens, with cached input reads priced at $0.015 per million tokens.

MiniMax confirmed that an earlier build of MiniMax M3.1 Flash operated anonymously under the name Space Bunny, processing over 200 trillion tokens prior to its official launch.

Meta Platforms Inc. expects capital expenditures of $135 billion to $145 billion in 2026, narrowing its previous bottom range from $130 billion to fund data center and AI infrastructure buildouts.

China's proposed export controls announced on October 16, 2026 offer simplified licensing for open-source technology exports and Chinese companies operating their own computing centres overseas

China's proposed export control regulations announced on October 16, 2026 exempt API access, web applications, and software-as-a-service features from export restrictions even when powered by restricted underlying models

Artificial intelligence startup DeepSeek successfully completed Chinese state registration, open-sourcing, and authorization procedures for overseas deployment of its AI models on October 22, 2026

Chinese regulatory revisions to the technology export catalog announced on October 16, 2026 aim to define boundaries rather than simply restrict the export of AI technology, according to Yuyuantantian

China's Ministry of Commerce proposed export controls covering 23 artificial intelligence technologies on October 16, 2026, targeting tools involving models, agents, and computing clusters

Chinese AI startups have closed performance gaps with US market leaders by offering more affordable pricing and customizable models compared to proprietary systems from OpenAI and Anthropic PBC