# 阿里开源Qwen3.8-27B多模态模型

- 来源：Rohan Paul (@rohanpaul_ai)
- 发布时间：2026-08-15 00:36
- AIHOT 分数：68
- AIHOT 链接：https://aihot.virxact.com/items/cmst6qwdu06f0ro06a9vlocvs
- 原文链接：https://x.com/rohanpaul_ai/status/2088303843876704508

## AI 摘要

阿里巴巴发布Qwen3.8-27B，一款27B参数的开源多模态稠密模型，采用Apache 2.0许可，支持Transformers、vLLM、SGLang及本地量化部署。

## 正文

Alibaba dropped the weights for Qwen3.8-27B as a 27B open-weight multimodal model built for local deployment.

• Apache 2.0 weights and support for Transformers, vLLM, SGLang, and local quantizations, Qwen3.8-27B puts unusually capable multimodal agent work within single-machine deployment range.

• It has 262k tokens of native context, extendable to 1M with YaRN, while reasoning can be disabled or adjusted per request.

• AMD says Qwen3.8-27B reached up to 51.8 tokens/sec in its initial testing on a single Radeon AI PRO R9700; roughly 24GB VRAM

• For coding, Qwen3.8-27B surprisingly close to, and sometimes above, Claude Opus 4.6 Max:
SWE-bench Pro 61.7 vs 53.4, CoWorkBench 70.7 vs 68.2, and OSWorld 84.3 vs 72.7.

So this 27B local model is legitimately frontier-class on several coding/agent benchmarks

### 引用推文

> Qwen：We promised open weights for Qwen3.8. Now, time to meet them! 🎉 ⚡ Qwen3.8-27B: - A native multimodal dense model. With just 27B parameters, it outperforms Qwen...