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Qwen3.5 0.8B (Non-reasoning)

AlibabaQwenOpen WeightApache 2.0 · Uso Comercial

Descripción

Qwen3.5-0.8B is a 0.8 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
800M
Longitud del contexto
—
Modalidades
—

Radar de capacidades

5
general
1
coding
24
reasoning
18
science
20
agents
10
multimodal

Rankings

Dominio#PosiciónPuntuaciónFuente
Capacidad agéntica107
27.0
LS
Ranking de codificación623
3.0
AA
Ranking general557
22.0
AA
Ciencia636
12.0
AA

Puntuaciones de benchmarks (LLM Stats)

(LLM Stats (zeroeval))

Agents

t2-bench11.6%Aut.

Chat

IFEvalGoogle Research (2023)44.0%Aut.
Multi-Challenge18.9%Aut.

General

C-Eval50.5%Aut.
NOVA-6342.4%Aut.
Include40.6%Aut.
MAXIFE39.2%Aut.

Instruction Following

IFBench21.0%Aut.

Language

MMLU-Redux59.5%Aut.
MMMLU44.3%Aut.
MMLU-Pro42.3%Aut.
MMLU-ProX34.6%Aut.
WMT24++27.2%Aut.

Long Context

LongBench v226.1%Aut.

Math

PolyMATH8.2%Aut.

Reasoning

Global PIQA59.4%Aut.
SuperGPQA21.3%Aut.
GPQANYU + Cohere + Anthropic (2023)11.9%Aut.
AA-LCR4.7%Aut.

Tool Calling

BFCL-V425.3%Aut.

Índices de evaluación AA

(Artificial Analysis)
Tau2(Sierra + U Toronto + Vector Institute (2025))
65.2
Gpqa(NYU + Cohere + Anthropic (2023))
23.6
Ifbench(Google Research (2023))
21.6
Lcr(Artificial Analysis)
8.0
Intelligence Index(Artificial Analysis)
5.4
Hle(Center for AI Safety + Scale AI (2025))
5.1
Coding Index(Artificial Analysis)
1.2
Terminalbench V2 1
0.4
Terminalbench Hard(Stanford × Laude Institute (2026))
0.0

Puntuaciones por categoría LLM Stats

(LLM Stats (zeroeval))
Language
40
Math
40
Structured Output
40
Chat
30
Instruction Following
30
Legal
30
Physics
30
Reasoning
30
Finance
30
General
30
Healthcare
30
Long Context
20
Agents
20
Chemistry
20
Communication
20
Economics
20
Tool Calling
20
Multimodal
10
Spatial Reasoning
10
Biology
10
Vision
10

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