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Model catalogQwen3.5-35B-A3B
QW

Qwen3.5-35B-A3B

推理大模型

Qwen3.5-35B-A3B

Release date: 2026-02-25更新于: 2026-03-08 21:06:201,208
Live demoGitHubHugging FaceCompare
Parameters
350.0亿
Context length
1M
Chinese support
Supported
Reasoning ability

Qwen3.5-35B-A3B is an AI model published by 阿里巴巴, released on 2026-02-25, for 推理大模型, with 350.0B parameters, and 1M tokens context length, under the Qwen License license.

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

Qwen3.5-35B-A3B

Model basics

Reasoning traces
Not supported
Thinking modes
Thinking Level · Extended (Default)Standard Mode
Context length
1M tokens
Max output length
4096 tokens
Model type
推理大模型
Release date
2026-02-25
Model file size
No data
MoE architecture
Yes
Total params / Active params
350.0B / 30B
Knowledge cutoff
No data
Qwen3.5-35B-A3B

Open source & experience

Code license
Qwen License
Weights license
Qwen License- 免费商用授权
GitHub repo
GitHub link unavailable
Hugging Face
https://huggingface.co/Qwen/Qwen3.5-35B-A3B
Live demo
No live demo
Qwen3.5-35B-A3B

Official resources

Paper
No paper available
DataLearnerAI blog
No blog post yet
Qwen3.5-35B-A3B

API details

API speed
No data
No public API pricing yet.
Qwen3.5-35B-A3B

Benchmark Results

Qwen3.5-35B-A3B currently shows benchmark results led by Claw Bench (8 / 27, score 91.40), Pinch Bench (26 / 37, score 78.40). This page also consolidates core specs, context limits, and API pricing so you can evaluate the model from benchmark results and deployment constraints together.

Thinking
All modesThinking

OpenClaw智能体能力综合测评

2 evaluations
Benchmark / mode
Score
Rank/total
Claw Bench
Thinking ModeTools
91.40
8 / 27
Pinch Bench
Thinking ModeTools
78.40
26 / 37
View benchmark analysisCompare with other models
Qwen3.5-35B-A3B

Publisher

阿里巴巴
阿里巴巴
View publisher details
Qwen3.5-35B-A3B

Model Overview

Qwen3.5-35B-A3B是阿里云于2026年2月25日发布的一款开源混合专家(MoE)模型,属于Qwen3.5系列的中等规模成员[citation:2][citation:3]。该模型采用了高效的MoE架构,总参数量为350亿,但每次推理仅激活其中的30亿参数,实现了性能与效率的平衡[citation:1][citation:2]。

在多项核心能力评测中,Qwen3.5-35B-A3B展现出强劲实力,其整体性能超越了参数规模大数倍的前代旗舰模型Qwen3-235B-A22B[citation:2][citation:8]。该模型特别针对智能体(Agent)场景进行了优化,在复杂规划、深度推理和任务调度方面表现突出[citation:2]。它支持高达100万tokens的上下文窗口(通过其API版本Qwen3.5-Flash实现),非常适合处理长文档和复杂的多轮对话任务[citation:1][citation:8]。

在基准测试方面,该系列在通用推理、数学、智能体等多个维度均可与国际一流模型相媲美[citation:2]。开发者可通过Hugging Face或魔搭社区下载模型进行研究和微调[citation:8]。基于此模型的托管服务Qwen3.5-Flash已在阿里云百炼平台上线,提供了低延迟、高性价比的生产级API[citation:3][citation:5]。

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