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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

3
general
1
coding
24
reasoning
13
science
20
agents
10
multimodal

Rankings

Dominio#PosiciónPuntuaciónFuente
Capacidad agéntica144
27.0
LS
Ranking de codificación539
4.0
AA
Ranking general505
21.0
AA
Ciencia567
9.0
AA

Puntuaciones de benchmarks (LLM Stats)

(LLM Stats (zeroeval))

Agents

BFCL-V425.3%Aut.
t2-bench11.6%Aut.

Biology

GPQANYU + Cohere + Anthropic (2023)11.9%Aut.

Chemistry

SuperGPQA21.3%Aut.

Communication

Multi-Challenge18.9%Aut.

Finance

MMLU-Pro42.3%Aut.
MMLU-ProX34.6%Aut.

General

MMLU-Redux59.5%Aut.
Global PIQA59.4%Aut.
C-Eval50.5%Aut.
MMMLU44.3%Aut.
IFEvalGoogle Research (2023)44.0%Aut.
NOVA-6342.4%Aut.
Include40.6%Aut.
MAXIFE39.2%Aut.
LongBench v226.1%Aut.
IFBench21.0%Aut.

Language

WMT24++27.2%Aut.

Long Context

AA-LCR4.7%Aut.

Math

PolyMATH8.2%Aut.

Índices de evaluación AA

(Artificial Analysis)
Intelligence Index(Artificial Analysis)
2.9
Coding Index(Artificial Analysis)
1.2
Tau2(Sierra + U Toronto + Vector Institute (2025))
0.7
Gpqa(NYU + Cohere + Anthropic (2023))
0.2
Ifbench(Google Research (2023))
0.2
Lcr(Artificial Analysis)
0.1
Hle(Center for AI Safety + Scale AI (2025))
0.1
Scicode(UIUC + Argonne National Lab (2024))
0.0
Terminalbench V2 1
0.0
Terminalbench Hard(Stanford × Laude Institute (2026))
0.0

Puntuaciones por categoría LLM Stats

(LLM Stats (zeroeval))
Math
40
Structured Output
40
Language
40
Legal
30
Physics
30
Reasoning
30
Instruction Following
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