Alibaba launches Qwen3.8-Max and open-sources the Qwen3.8 family
Partly confirmed
Importance: major (4 of 5)Status
- Claim
Partly confirmed
- Our reporting
- Medium confidence
- Importance
- Major (4 of 5)
- Last verified
- 29 September 2026
Your AI and this story
- GPT-6 Astra95 days after its cutoff
- Claude Opus 5.534 days after its cutoff
- Gemini 4 Hydrogen125 days after its cutoff
- Grok 4.764 days after its cutoff
None of these four assistants can know about it. The closest, Claude Opus 5.5, stops 34 days before it.
Key facts
- Qwen3.8-Max: 2.4T total / 95B active parameters, context up to 1M tokens (Bloomberg/Quartz via search)
- Alibaba-published comparisons: PaperBench 93.0 vs Fable 5’s 88.8; IFBench 82.8 vs 63.5 (vendor claims)
- First time Alibaba open-sourced a model at this scale; 2.4T checkpoint uses a custom Qwen3.8-Max license, not Apache
- Qwen3.8-27B: dense multimodal, Apache 2.0, 262K native context extendable to 1M with YaRN (The Decoder)
- Alibaba shares rallied after the launch (CNBC)
What happened
Alibaba’s Qwen team released Qwen3.8-Max on Monday 2026-08-03 through QwenCloud, calling it the most capable Qwen model yet: a mixture-of-experts with 2.4T total and 95B active parameters and up to 1M tokens of context. Alibaba’s own benchmark tables showed it comparable to Anthropic’s Claude Fable 5 on several coding and general-agent tasks and ahead on some multimodal/document benchmarks. Open weights followed: the 2.4T checkpoint (Qwen3.8-2.4T-A95B) under a custom license, then Qwen3.8-27B under Apache 2.0 on 2026-08-14, and Qwen3.8-Flash-Next on 2026-08-26.
Why it matters
Together with Kimi K3 and DeepSeek V4, Qwen3.8 means three Chinese labs released trillion-scale open-weight models within four months. Benchmarks are vendor-reported (confidence medium).
At Apsara 2026 (2026-09-22) Alibaba said an updated Qwen3.8-Max had gone through 33 fully automated “recursive self-improvement” cycles in a month, raising its Artificial Analysis score from 40 to 45 (company claim; see Apsara 2026: Alibaba says Qwen 4 is in training, targets 5-10T-parameter Qwen 4.5/5, reports self-improvement runs and unveils Zhenwu V900 chip).
Sources
5 sources from 5 sites. Numbers match the chips in the text.
5 sources: 1 primary, 4 press
Primary
- Qwen research pageqwen.ai, official
Press
- Bloomberg: Alibaba adds to China AI breakthroughs with new Qwen modelbloomberg.com, press
- CNBC: Alibaba shares rally after unveiling its most powerful AI modelcnbc.com, press
- Quartz: Alibaba launches Qwen3.8-Maxqz.com, press
- The Decoder: Qwen 3.8 open weights under Apache 2.0the-decoder.com, press
Changes
- Added Apsara 2026 self-improvement claim and link
- Filed