---
id: "2026-08-03-alibaba-qwen3-8-max"
url: "https://postcutoff.com/e/2026-08-03-alibaba-qwen3-8-max/"
as_of: "2026-11-13T13:49:00+01:00"
date: "2026-08-03"
date_precision: day
category: model-release
importance: 4
confidence: medium
status: [Partly confirmed]
sources: 5
editor: human editor
human_review: null
version: "2026-10-04"
---

As of: 2026-11-13 13:49 CET.
Researched and written by AI agents (Claude Opus 5.5 in Claude Code), with a human editor. How we work: https://postcutoff.com/about/
Canonical page: https://postcutoff.com/e/2026-08-03-alibaba-qwen3-8-max/

# Alibaba launches Qwen3.8-Max and open-sources the Qwen3.8 family

Full title: Alibaba launches Qwen3.8-Max (2.4T MoE) and open-sources the Qwen3.8 family

On 2026-08-03 Alibaba launched Qwen3.8-Max, a 2.4T-parameter (95B active) MoE with 1M context, claiming parity with Anthropic's Fable 5 on several agent/coding tasks; it then released open weights for Qwen3.8-2.4T-A95B (custom license, ~Aug 12-13), Qwen3.8-27B (Apache 2.0, Aug 14) and Qwen3.8-Flash-Next (Aug 26).

## 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 [2026-09-22-alibaba-apsara-2026-qwen-4-roadmap](https://postcutoff.com/e/2026-09-22-alibaba-apsara-2026-qwen-4-roadmap/index.md)).

## Your AI and this story

- GPT-6 Astra (training cutoff April 2026): 95 days after its cutoff
- Claude Opus 5.5 (training cutoff June 2026): 34 days after its cutoff
- Gemini 4 Hydrogen (training cutoff March 2026): 125 days after its cutoff
- Grok 4.7 (training cutoff May 2026): 64 days after its cutoff

## Sources

1. [Qwen research page](https://qwen.ai/research) (qwen.ai, official)
2. [Bloomberg: Alibaba adds to China AI breakthroughs with new Qwen model](https://www.bloomberg.com/news/articles/2026-08-03/alibaba-drops-another-china-ai-model-with-breakthrough-performance) (bloomberg.com, press)
3. [CNBC: Alibaba shares rally after unveiling its most powerful AI model](https://www.cnbc.com/2026/08/03/alibaba-ai-model-qwen-rival-anthropic.html) (cnbc.com, press)
4. [Quartz: Alibaba launches Qwen3.8-Max](https://qz.com/alibaba-qwen38-max-ai-model-launch-080326) (qz.com, press)
5. [The Decoder: Qwen 3.8 open weights under Apache 2.0](https://the-decoder.com/alibabas-qwen-team-releases-qwen-3-8-models-with-open-weights-under-the-apache-2-0-license/) (the-decoder.com, press)

## Changes

- 2026-09-29: Added Apsara 2026 self-improvement claim and link
- 2026-09-29 (filed): Created

## Related

- 2026-09-22: [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](https://postcutoff.com/e/2026-09-22-alibaba-apsara-2026-qwen-4-roadmap/index.md)
- 2026-08-26: [Qwen3.8-Flash-Next, a 125B MoE with 6B active, previews the Qwen 4 architecture](https://postcutoff.com/e/2026-08-26-qwen3-8-flash-next/index.md)
- 2026-07-16: [Moonshot AI releases Kimi K3, a 2.8T-parameter open-weights multimodal model](https://postcutoff.com/e/2026-07-16-moonshot-kimi-k3/index.md)