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Qwen3.5 2B (Reasoning)

AlibabaQwenOpen WeightApache 2.0 · Usage Commercial

Description

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.

Date de sortie
2026-03-02
Paramètres
2.0B
Longueur du contexte
—
Modalités
—

Radar de capacités

6
general
3
coding
46
reasoning
32
science
50
agents
30
multimodal

Classements

Domaine#RangScoreSource
Capacité agentique106
31.0
LS
Classement codage584
10.0
AA
Classement général501
28.0
AA
Science551
22.0
AA

Scores de benchmarks (LLM Stats)

(LLM Stats (zeroeval))

Agents

t2-bench48.8%Aut.

Chat

IFEvalGoogle Research (2023)78.6%Aut.
Multi-Challenge33.7%Aut.

General

C-Eval73.2%Aut.
MAXIFE60.6%Aut.
Include55.4%Aut.
NOVA-6346.4%Aut.

Instruction Following

IFBench41.3%Aut.

Language

MMLU-Redux79.6%Aut.
MMLU-Pro66.5%Aut.
MMMLU63.1%Aut.
MMLU-ProX52.3%Aut.
WMT24++45.8%Aut.

Long Context

LongBench v238.7%Aut.

Math

PolyMATH26.1%Aut.

Reasoning

Global PIQA69.3%Aut.
GPQANYU + Cohere + Anthropic (2023)51.6%Aut.
SuperGPQA37.5%Aut.
AA-LCR25.6%Aut.

Tool Calling

BFCL-V443.6%Aut.

Indices d'évaluation AA

(Artificial Analysis)
Tau2(Sierra + U Toronto + Vector Institute (2025))
69.0
Gpqa(NYU + Cohere + Anthropic (2023))
45.6
Ifbench(Google Research (2023))
31.5
Lcr(Artificial Analysis)
21.0
Intelligence Index(Artificial Analysis)
6.9
Terminalbench Hard(Stanford × Laude Institute (2026))
3.8
Terminalbench V2 1
3.0
Coding Index(Artificial Analysis)
2.9
Hle(Center for AI Safety + Scale AI (2025))
2.6

Scores par catégorie LLM Stats

(LLM Stats (zeroeval))
Chat
60
Instruction Following
60
Language
60
Structured Output
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

Tarification

Prix d'entréeGratuit
Prix de sortieGratuit
Prix mixte (3:1)Gratuit

Vitesse

Tokens/sec0.0
Délai du premier token0.00s
Temps de réponse0.00s

Classement des Prix par Fournisseur

Aucune donnée de fournisseur disponible

Sources externes

LLM StatsArtificial Analysis