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Qwen3.5 2B (Reasoning)

AlibabaQwenOpen WeightApache 2.0 · Uso Comercial

Descripción

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.

Fecha de lanzamiento
2026-03-02
Parámetros
2.0B
Longitud del contexto
—
Modalidades
—

Radar de capacidades

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

Rankings

Dominio#PosiciónPuntuaciónFuente
Capacidad agéntica106
31.0
LS
Ranking de codificación586
10.0
AA
Ranking general503
28.0
AA
Ciencia553
22.0
AA

Puntuaciones 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.

Índices de evaluación 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

Puntuaciones por categoría 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

Precios

Precio de entradaGratis
Precio de salidaGratis
Precio mixto (3:1)Gratis

Velocidad

Tokens/seg0.0
Retraso del primer token0.00s
Tiempo hasta la respuesta0.00s

Ranking de Precios por Proveedor

No hay datos de proveedores disponibles

Fuentes externas

LLM StatsArtificial Analysis