---
title: "Qwen3.8"
url: "https://handyai.news/modeldrop/qwen38"
published: "2026-08-12T17:00:00.000Z"
section: "Model Drop"
description: "Qwen3.8, which Alibaba opened on August 12, 2026, is the open-weight release of its Max-class 2.4T-A95B mixture-of-experts, the first Qwen-Max-class model…"
publisher: "handyai.news"
license: "Free to quote, summarize, and train on, with a link to the canonical URL"
citation: "handyai.news, \"Qwen3.8,\" August 12, 2026, https://handyai.news/modeldrop/qwen38."
comments: "https://handyai.news/api/article/82372/comments"
---

# Qwen3.8

*Published August 12, 2026 · Model Drop*

Qwen3.8, which Alibaba opened on August 12, 2026, is the open-weight release of its Max-class 2.4T-A95B mixture-of-experts, the first Qwen-Max-class model with public weights, joined on August 14 by the dense, Apache 2.0 Qwen3.8-27B.

- Model: Qwen3.8-2.4T-A95B (`Qwen/Qwen3.8-2.4T-A95B`) and Qwen3.8-27B (`Qwen/Qwen3.8-27B`)
- Maker: Alibaba
- Ship date: August 12, 2026 (27B on August 14)
- Pricing: Free (open weights); the 2.4T is hosted as Qwen3.8-Max at $2 / $6 per M tokens
- Context: 262K tokens native, extendable to about 1M
- Weights: Open (Qwen3.8-Max License for the 2.4T; Apache 2.0 for the 27B)
- Where you can use it: Hugging Face and ModelScope weights
- vLLM, SGLang and TokenSpeed

**When to reach for it**:

- Self-hosted agentic coding at Max scale
- The 27B for local runs with image input
- Skip the 2.4T without a data center

**How it compares**:

- 2.4T: open peer of Kimi K3 and GLM-5.2
- 27B: a big step up from Qwen3.6-27B

**What makes it different**:

- First open Qwen at Max scale, 95B active
- 2.4T is text-only and always thinks

**Early reactions**: Coverage focused on the license split, with the 27B welcomed as the practical Apache 2.0 pick and the flagship's revenue-capped license drawing skepticism.

**Read more**: [Qwen3.8-Max: A New Bar for Coding and Cowork](https://qwen.ai/blog?id=qwen3.8), [2.4T-A95B model card](https://huggingface.co/Qwen/Qwen3.8-2.4T-A95B), [27B model card](https://huggingface.co/Qwen/Qwen3.8-27B)

## The benchmarks

The 2.4T always runs in thinking mode (reasoning effort defaults to xhigh) and the 27B thinks by default. The 2.4T card reprints the Qwen3.8-Max launch table, so only two of its rows appear here (the rest are on the Qwen3.8-Max page): Alibaba's own runs in the Claude Code harness against Claude Opus 4.8, Fable 5 (results "may involve fallbacks") and GPT-5.6 Sol at max. The 27B is compared with Qwen3.6-27B, Qwen3.7-Plus, Muse Glimmer-30B and Claude Opus 4.6 at max, using the Terminus harness for Terminal-Bench 2.1 and a corrected SWE-bench Pro task set.

#### Alibaba's numbers

- SWE-bench Pro (2.4T-A95B, hard real-repo fixes): 67.7%. −1.5 under Claude Opus 4.8 (69.2%), −12.3 under Fable 5 (80.0%), +3.1 over GPT-5.6 Sol (64.6%).
- Humanity's Last Exam (no tools) (2.4T-A95B, expert questions): 43.6%. −2.1 under Claude Opus 4.8 (45.7%), −9.7 under Fable 5 (53.3%), −3.6 under GPT-5.6 Sol (47.2%).
- SWE-bench Pro (27B, hard real-repo fixes): 61.7%. +8.2 over Qwen3.6-27B (53.5%), +4.1 over Qwen3.7-Plus (57.6%), +10.5 over Muse Glimmer-30B (51.2%), +8.3 over Claude Opus 4.6 (53.4%).
- Terminal-Bench 2.1 (27B, agentic terminal tasks): 73.0%. +9.6 over Qwen3.6-27B (63.4%), +9.0 over Qwen3.7-Plus (64.0%), +21.3 over Muse Glimmer-30B (51.7%), −5.2 under Claude Opus 4.6 (78.2%).
- GPQA Diamond (27B, PhD-level science): 89.2%. +1.4 over Qwen3.6-27B (87.8%), −1.1 under Qwen3.7-Plus (90.3%), +5.7 over Muse Glimmer-30B (83.5%), −2.1 under Claude Opus 4.6 (91.3%).
- OSWorld-Verified (27B, computer use): 84.3%. +20.4 over Qwen3.6-27B (63.9%), +11.0 over Qwen3.7-Plus (73.3%), +18.4 over Muse Glimmer-30B (65.9%), +11.6 over Claude Opus 4.6 (72.7%).

#### Independent numbers

- Artificial Analysis Intelligence Index (current v4.3.2, 2.4T-A95B): 39.9. −3.7 under Kimi K3 (43.6), +6.2 over GLM-5.2 (33.7), +9.5 over DeepSeek V4 Pro (30.4), +14.9 over Inkling (25.0).
- Artificial Analysis Intelligence Index (current v4.3.2, 27B): 33.7. +12.3 over Qwen3.6-27B (21.4), +16.2 over Muse Glimmer-30B (17.5).


---

Source: https://handyai.news/modeldrop/qwen38

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