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Qwen3.5 4B (Non-reasoning)

AlibabaQwenOpen WeightApache 2.0 · Uso Comercial

Descripción

Qwen3.5-4B is a 4 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 for its size across knowledge, reasoning, coding, and multilingual tasks.

Fecha de lanzamiento
2026-03-02
Parámetros
4.0B
Longitud del contexto
Modalidades

Radar de capacidades

14
general
20
coding
71
reasoning
40
science
70
agents
50
multimodal

Rankings

Dominio#PosiciónPuntuaciónFuente
Capacidad agéntica133
28.0
LS
Ranking de codificación351
28.0
AA
Ranking general292
42.0
AA
Ciencia345
39.0
AA

Puntuaciones de benchmarks (LLM Stats)

(LLM Stats (zeroeval))

Agents

t2-bench79.9%Aut.
BFCL-V450.3%Aut.
VITA-Bench22.0%Aut.
DeepPlanning17.6%Aut.

Biology

GPQANYU + Cohere + Anthropic (2023)76.2%Aut.

Chemistry

SuperGPQA52.9%Aut.

Communication

Multi-Challenge49.0%Aut.

Finance

MMLU-Pro79.1%Aut.
MMLU-ProX71.5%Aut.

General

IFEvalGoogle Research (2023)89.8%Aut.
MMLU-Redux88.8%Aut.
C-Eval85.1%Aut.
Global PIQA78.9%Aut.
MAXIFE78.0%Aut.
MMMLU76.1%Aut.
Include71.0%Aut.
IFBench59.2%Aut.
LiveCodeBench v655.8%Aut.
NOVA-6354.3%Aut.
LongBench v250.0%Aut.

Language

WMT24++66.6%Aut.

Long Context

AA-LCR57.0%Aut.

Math

HMMT2576.8%Aut.
HMMT 202574.0%Aut.
PolyMATH51.1%Aut.

Índices de evaluación AA

(Artificial Analysis)
Coding Index(Artificial Analysis)
20.3
Intelligence Index(Artificial Analysis)
16.1
Tau2(Sierra + U Toronto + Vector Institute (2025))
0.9
Gpqa(NYU + Cohere + Anthropic (2023))
0.7
Lcr(Artificial Analysis)
0.3
Ifbench(Google Research (2023))
0.3
Terminalbench V2 1
0.2
Scicode(UIUC + Argonne National Lab (2024))
0.2
Terminalbench Hard(Stanford × Laude Institute (2026))
0.1
Hle(Center for AI Safety + Scale AI (2025))
0.1
Tau Banking
0.0

Puntuaciones por categoría LLM Stats

(LLM Stats (zeroeval))
Language
80
Biology
80
Legal
70
Math
70
Physics
70
Structured Output
70
Instruction Following
70
Finance
70
Healthcare
70
Tool Calling
70
Reasoning
60
General
60
Chemistry
60
Long Context
50
Multimodal
50
Spatial Reasoning
50
Communication
50
Economics
50
Vision
50
Agents
40

Precios

Precio de entrada$0.03 / 1M tokens
Precio de salida$0.15 / 1M tokens
Precio mixto (3:1)$0.06 / 1M tokens

Velocidad

Tokens/seg25.2
Retraso del primer token0.55s
Tiempo hasta la respuesta0.55s

Ranking de Precios por Proveedor

Ranking de Precios por Proveedor

1 proveedores

ProveedorEntradaSalida
1AlibabaPRINCIPAL
$0.03
$0.15

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Fuentes externas