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.
發布日期
2026-03-02
參數規模
9.0B
上下文長度
262K
支援模態
image, text, video
能力雷達圖
23
general
22
coding
79
reasoning
47
science估算
70
agents
60
multimodal
Science 在缺少專門科學評測時使用推理能力代理估算。
排行榜排名
基準測試分數 (LLM Stats)
Agents
t2-bench
79.1%自報
BFCL-V4
66.1%自報
VITA-Bench
29.8%自報
DeepPlanning
18.0%自報
Biology
GPQA
81.7%自報
Chemistry
SuperGPQA
58.2%自報
Communication
Multi-Challenge
54.5%自報
Finance
MMLU-Pro
82.5%自報
MMLU-ProX
76.3%自報
General
IFEval
91.5%自報
MMLU-Redux
91.1%自報
C-Eval
88.2%自報
MAXIFE
83.4%自報
Global PIQA
83.2%自報
MMMLU
81.2%自報
Include
75.6%自報
LiveCodeBench v6
65.6%自報
IFBench
64.5%自報
NOVA-63
55.9%自報
LongBench v2
55.2%自報
Language
WMT24++
72.6%自報
Long Context
AA-LCR
63.0%自報
Math
HMMT 2025
83.2%自報
HMMT25
82.9%自報
PolyMATH
57.3%自報
AA 評測指數
Intelligence Index27.3
Coding Index21.4
Tau20.9
Gpqa0.8
Lcr0.4
Ifbench0.4
Scicode0.3
Terminalbench Hard0.2
Hle0.1
LLM Stats 分類評分
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
定價
輸入價格免費
輸出價格免費
混合價格(3:1)免費
速度
Tokens/秒0.0 tokens/s
首Token延遲0.00s
首回答延遲0.00s
可用提供商
(LS 內部計價單位)暫無提供商資料