Alibaba launches Qwen3.8-Max, a 2.4T-parameter MoE model

The 2.4-trillion-parameter MoE model accepts text, image, and video input and is priced at $2 input/$6 output per million tokens. Open weights ship next week alongside the dense Qwen3.8-27B, which The New Stack reports delivers Opus 4.6-level performance on a laptop.
How this story unfolded
12 days · 7 reports · from Aug 3
- Aug 3
- Aug 4
- Aug 6
- Aug 14
Daily brief
Get tomorrow's AI brief in your inbox
More stories today
- Apple applies iterative pseudo-labeling to code-switching ASR
- Vercel Agent is now available in Slack code channels
- Doctorow: AI's epistemic crisis is an 'opportunistic infection'
- Gary Marcus: OpenAI is becoming a surveillance company
- agtx runs multi-agent coding workflows from a kanban board