Reddit User Claims Qwen3.8 2.4T Model Generated Call of Duty Clone
A Reddit user claimed to have generated a Call of Duty clone in a single prompt using Alibaba's newly released Qwen3.8-2.4T open-weights model. The generation process took approximately five hours and consumed 1.1 million output tokens on a rented Nvidia B200 cluster. This demonstration highlights the capability of massive open-weights models to generate complex, multi-file codebases like 3D games. Additionally, releasing such large models allows the open-source community to develop quantized versions that could eventually run on consumer-grade hardware. The post lacks technical depth, providing no code, implementation details, or architecture explanations, and functions primarily as a promotion for the author's local LLM app, atomic.chat. The Qwen3.8-2.4T-A95B model is a Mixture-of-Experts (MoE) model with 2.4 trillion total parameters but only 95 billion active parameters per token.
## BACKGROUND
Qwen3.8-Max (released as Qwen3.8-2.4T-A95B) is a massive Mixture-of-Experts (MoE) model developed by Alibaba. To run such large models, developers often rely on high-performance hardware like Nvidia's Blackwell-based B200 GPUs or use quantization techniques to compress the model's weights to lower precision (like 8-bit or 4-bit) so they can fit into consumer GPU memory.