Alibaba releases Qwen3.8-Max, a 2.4T-parameter MoE flagship

Qwen3.8-Max is a sparse MoE with 2.4T total parameters, 256K context, and native multimodal input, priced at $2/$6 per million tokens. It scores 56 on the Artificial Analysis Intelligence Index, trailing Kimi K3 by 1 point at 25% lower cost. Open weights are expected next week.
How this story unfolded
4 weeks · 11 reports · 14 community posts · from Jul 23
- Jul 23
- Aug 3
Qwen 3.8 Max now available on Vercel AI Gatewayvercel.com
Alibaba’s Qwen3.8-Max AI Model Claims Benchmark Scores Rivaling Anthropicbloomberg.com
Alibaba launches Qwen3.8 with 2.4 trillion parameterstechnode.com
China’s Alibaba takes another swipe at America’s AI supremacytheverge.com
Alibaba shares rally after unveiling its 'most powerful' AI model as U.S.-China competition heats upcnbc.com
Alibaba’s AI coded for 16 days straight and every commit is on GitHubthenewstack.io
- Aug 4
Qwen3.8-Max arrives with a bold claim: it outperforms GPT-5.6 Sol Max and Fable 5 on agentic computer useventurebeat.com
[AINews] Qwen 3.8 Max(2.4T) and 27B, new open weights models for Coding and Coworklatent.space
Alibaba launches next-gen Qwen3.8 with 2.4 trillion parameterstechnode.com
What developers really think about Qwen3.8-Max: “An API business model wearing an open source jacket”thenewstack.io
- Aug 6
- Aug 9
- Aug 12
- Aug 18
Daily brief
Get tomorrow's AI brief in your inbox
More stories today
- Reduce RAG costs on Amazon Bedrock with query-aware compression
- AWS and Panasonic Avionics use agentic AI for aircraft IFEC diagnostics
- User's Claude memory system backfired; Claude said user was the bottleneck
- Claude users discuss when to choose Sonnet over Opus
- Building token-efficient multi-agent systems