Qwen3.5 9B (Non-reasoning)
AlibabaQwenOpen WeightApache 2.0 · Commercial OK
描述
Qwen3.5-9B is a 9 billion parameter vision-language model using Gated DeltaNet hybrid architecture with a 3:1 ratio of linear attention to full softmax attention. It supports 262K native context length and delivers strong performance across knowledge, reasoning, coding, and multilingual tasks.
发布日期
2026-03-02
参数规模
9.0B
上下文长度
262K
支持模态
image, text, video
能力雷达图
23
general
22
coding
79
reasoning
47
science估算
70
agents
60
multimodal
Science 在缺少专门科学评测时使用推理能力代理估算。
排行榜排名
基准测试分数 (LLM Stats)
Agents
t2-bench
79.1%自报
BFCL-V4
66.1%自报
VITA-Bench
29.8%自报
DeepPlanning
18.0%自报
Biology
GPQA
81.7%自报
Chemistry
SuperGPQA
58.2%自报
Communication
Multi-Challenge
54.5%自报
Finance
MMLU-Pro
82.5%自报
MMLU-ProX
76.3%自报
General
IFEval
91.5%自报
MMLU-Redux
91.1%自报
C-Eval
88.2%自报
MAXIFE
83.4%自报
Global PIQA
83.2%自报
MMMLU
81.2%自报
Include
75.6%自报
LiveCodeBench v6
65.6%自报
IFBench
64.5%自报
NOVA-63
55.9%自报
LongBench v2
55.2%自报
Language
WMT24++
72.6%自报
Long Context
AA-LCR
63.0%自报
Math
HMMT 2025
83.2%自报
HMMT25
82.9%自报
PolyMATH
57.3%自报
AA 评测指数
Intelligence Index27.3
Coding Index21.4
Tau20.9
Gpqa0.8
Lcr0.4
Ifbench0.4
Scicode0.3
Terminalbench Hard0.2
Hle0.1
LLM Stats 分类评分
Biology80
General80
Instruction Following80
Language80
Math80
Structured Output70
Tool Calling70
Chemistry70
Finance70
Healthcare70
Legal70
Physics70
Reasoning70
Spatial Reasoning60
Vision60
Economics60
Long Context60
Multimodal60
Agents50
Communication50
定价
输入价格免费
输出价格免费
混合价格(3:1)免费
速度
Tokens/秒0.0 tokens/s
首Token延迟0.00s
首回答延迟0.00s
可用提供商
(LS 内部计价单位)暂无提供商数据