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目录
Model catalogQwen3.5-27B
QW

Qwen3.5-27B

Qwen3.5-27B

Release date: 2026-02-25更新于: 2026-02-26 21:47:25310
Live demoGitHubHugging FaceCompare
Parameters
270.0亿
Context length
1010K
Chinese support
Supported
Reasoning ability

Data sourced primarily from official releases (GitHub, Hugging Face, papers), then benchmark leaderboards, then third-party evaluators. Learn about our data methodology

Qwen3.5-27B

Model basics

Reasoning traces
Supported
Context length
1010K tokens
Max output length
248320 tokens
Model type
推理大模型
Release date
2026-02-25
Model file size
55.6 GB
MoE architecture
No
Total params / Active params
270.0B / N/A
Knowledge cutoff
No data
Inference modes
常规模式(Non-Thinking Mode)思考模式(Thinking Mode)
Qwen3.5-27B

Open source & experience

Code license
Qwen License
Weights license
Qwen License- 免费商用授权
GitHub repo
https://github.com/QwenLM/Qwen3.5
Hugging Face
https://huggingface.co/Qwen/Qwen3.5-27B
Live demo
https://chat.qwen.ai/
Qwen3.5-27B

Official resources

Paper
Qwen3.5: Towards Native Multimodal Agents
DataLearnerAI blog
No blog post yet
Qwen3.5-27B

API details

API speed
4/5
No public API pricing yet.
Qwen3.5-27B

Benchmark Results

No benchmark data to show.
Qwen3.5-27B

Publisher

阿里巴巴
阿里巴巴
View publisher details
Qwen3.5-27B

Model Overview

Qwen3.5-27B是阿里云于2026年2月25日发布的一款密集架构(Dense)开源模型,旨在为用户提供一种轻量化、高能效的大模型选择[citation:1][citation:3]。该模型拥有270亿参数,专注于在保持高性能的同时,降低模型部署和使用的门槛。

尽管尺寸相对较小,Qwen3.5-27B在多项任务中表现出色,尤其在交互、编程、长文本理解和数学推理方面展现了强大能力[citation:2]。在SWE-bench Verified编程能力测评中,该模型取得了最高分,证明了其在真实软件工程问题上的解决能力[citation:2]。此外,它在多模态幻觉抑制与事实一致性方面也有优异表现[citation:2]。

开发者可以通过Hugging Face、GitHub或魔搭社区下载该模型进行本地部署和微调[citation:8]。这款模型特别适合资源受限的场景,或作为需要快速响应和高性价比的特定任务的专用模型。

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