Qwen3.5 9B (Non-reasoning)
AlibabaQwenOpen WeightApache 2.0 · Commercial OK
Description
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.
Release Date
2026-03-02
Parameters
9.0B
Context Length
262K
Modalities
image, text, video
Capability Radar
23
general
22
coding
79
reasoning
47
scienceest.
70
agents
60
multimodal
Science uses a reasoning proxy when dedicated science benchmarks are unavailable.
Rankings
| Domain | #Rank | Score | Source |
|---|---|---|---|
| Agents & Tools | 71 | 52.0 | LS |
| Code Ranking | 221 | 38.0 | AA |
| General Ranking | 192 | 51.0 | AA |
| Science | 186 | 49.0 | AA |
Benchmark Scores (LLM Stats)
Agents
t2-bench
79.1%SR
BFCL-V4
66.1%SR
VITA-Bench
29.8%SR
DeepPlanning
18.0%SR
Biology
GPQA
81.7%SR
Chemistry
SuperGPQA
58.2%SR
Communication
Multi-Challenge
54.5%SR
Finance
MMLU-Pro
82.5%SR
MMLU-ProX
76.3%SR
General
IFEval
91.5%SR
MMLU-Redux
91.1%SR
C-Eval
88.2%SR
MAXIFE
83.4%SR
Global PIQA
83.2%SR
MMMLU
81.2%SR
Include
75.6%SR
LiveCodeBench v6
65.6%SR
IFBench
64.5%SR
NOVA-63
55.9%SR
LongBench v2
55.2%SR
Language
WMT24++
72.6%SR
Long Context
AA-LCR
63.0%SR
Math
HMMT 2025
83.2%SR
HMMT25
82.9%SR
PolyMATH
57.3%SR
AA Evaluation Indices
Intelligence Index27.3
Coding Index21.4
Tau20.9
Gpqa0.8
Lcr0.4
Ifbench0.4
Scicode0.3
Terminalbench Hard0.2
Hle0.1
LLM Stats Category Scores
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
Pricing
Input PriceFree
Output PriceFree
Blended Price (3:1)Free
Speed
Tokens/sec0.0 tokens/s
Time to First Token0.00s
Time to Answer0.00s
Available Providers
(LS internal units)No provider data available