DataLearner 标志

Qwen3.6-27BvsQwen3.5-27B

在 8 个共同 benchmark 中,Qwen3.6-27B 整体领先:Qwen3.6-27B 领先 6 项,Qwen3.5-27B 领先 2 项,持平 0 项,平均分差 +0.21。

阿里巴巴
Qwen3.6-27B

阿里巴巴 · 2026-04-22 · 推理大模型

阿里巴巴
Qwen3.5-27B

阿里巴巴 · 2026-02-25 · 推理大模型

Qwen3.6-27B6 (75%)(25%)2 Qwen3.5-27B

评测分数

按能力类目分组,每组内按分差大小排列;共 8 项。

General Knowledge

Qwen3.6-27B 领先 3/4
评测项Qwen3.6-27BQwen3.5-27B分差
HLE24107 / 172Thinking (No Tools)48.5033 / 172Thinking (With Tools)-24.50
GPQA Diamond87.8036 / 187Thinking (No Tools)85.5052 / 187Thinking (No Tools)+2.30
C-Eval91.405 / 10Thinking (No Tools)90.506 / 10Thinking (No Tools)+0.90
MMLU Pro86.2017 / 132Thinking (No Tools)86.1019 / 132Thinking (No Tools)+0.10

Coding and Software Engineer

Qwen3.6-27B 领先 2/2
评测项Qwen3.6-27BQwen3.5-27B分差
SWE-bench Verified77.2028 / 112Thinking (With Tools)72.4053 / 112Thinking (No Tools)+4.80
LiveCodeBench83.9019 / 123Thinking (No Tools)80.7027 / 123Thinking (With Tools)+3.20

AI Agent - Tool Usage

Qwen3.6-27B 领先 1/1
评测项Qwen3.6-27BQwen3.5-27B分差
Terminal Bench 2.059.3020 / 47Thinking (With Tools)41.6043 / 47Thinking (With Tools)+17.70

Claw-style Agent Evaluation

Qwen3.5-27B 领先 1/1
评测项Qwen3.6-27BQwen3.5-27B分差
Claw Bench72.4027 / 29Thinking (With Tools)75.2026 / 29Thinking (With Tools)-2.80

规格对比

字段Qwen3.6-27BQwen3.5-27B
发布机构阿里巴巴阿里巴巴
发布时间2026-04-222026-02-25
模型类型推理大模型推理大模型
架构稠密模型稠密模型
参数规模270亿270亿
上下文长度128K1010K
最大输出16K248320

小结

  • Qwen3.6-27B在以下类目领先:General Knowledge (3/4)、Coding and Software Engineer (2/2)、AI Agent - Tool Usage (1/1)
  • Qwen3.5-27B在以下类目领先:Claw-style Agent Evaluation (1/1)

8 个共同 benchmark 上,Qwen3.6-27B 平均高出 0.21 分。

单项差距最大的 benchmark:HLE — Qwen3.6-27B 24,Qwen3.5-27B 48.50(分差 -24.50)。

本页正文由结构化模型、价格与 benchmark 数据生成,不使用实时 LLM 撰写。