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Qwen3.5 2B (Reasoning)

AlibabaQwen開源權重Apache 2.0 · 商用許可

描述

Qwen3.5-2B is a 2 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 features both thinking and non-thinking modes.

發布日期
2026-03-02
參數規模
2.0B
上下文長度
—
支援模態
—

能力雷達圖

6
general
3
coding
46
reasoning
22
science
50
agents
30
multimodal

排行榜排名

領域#排名分數來源
智慧體能力模型榜136
32.0
LS
程式碼能力榜489
12.0
AA
通用能力榜440
29.0
AA
科學能力519
17.0
AA

基準測試分數 (LLM Stats)

(LLM Stats (zeroeval))

Agents

t2-bench48.8%自報
BFCL-V443.6%自報

Biology

GPQANYU + Cohere + Anthropic (2023)51.6%自報

Chemistry

SuperGPQA37.5%自報

Communication

Multi-Challenge33.7%自報

Finance

MMLU-Pro66.5%自報
MMLU-ProX52.3%自報

General

MMLU-Redux79.6%自報
IFEvalGoogle Research (2023)78.6%自報
C-Eval73.2%自報
Global PIQA69.3%自報
MMMLU63.1%自報
MAXIFE60.6%自報
Include55.4%自報
NOVA-6346.4%自報
IFBench41.3%自報
LongBench v238.7%自報

Language

WMT24++45.8%自報

Long Context

AA-LCR25.6%自報

Math

PolyMATH26.1%自報

AA 評測指數

(Artificial Analysis)
Intelligence Index(Artificial Analysis)
7.4
Coding Index(Artificial Analysis)
2.9
Tau2(Sierra + U Toronto + Vector Institute (2025))
0.7
Gpqa(NYU + Cohere + Anthropic (2023))
0.5
Ifbench(Google Research (2023))
0.3
Lcr(Artificial Analysis)
0.3
Terminalbench Hard(Stanford × Laude Institute (2026))
0.0
Terminalbench V2 1
0.0
Scicode(UIUC + Argonne National Lab (2024))
0.0
Hle(Center for AI Safety + Scale AI (2025))
0.0

LLM Stats 分類評分

(LLM Stats (zeroeval))
Structured Output
60
Instruction Following
60
Language
60
Legal
50
Math
50
Physics
50
Reasoning
50
Finance
50
General
50
Healthcare
50
Agents
50
Biology
50
Tool Calling
50
Chemistry
40
Economics
40
Long Context
30
Multimodal
30
Spatial Reasoning
30
Communication
30
Vision
30

定價

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速度

Tokens/秒0.0
首Token延遲0.00s
首回答延遲0.00s

供應商價格排行

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外部連結

LLM StatsArtificial Analysis