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Qwen3.5 9B (Non-reasoning)

AlibabaQwenOpen WeightApache 2.0 · Uso Comercial

Descripción

Qwen3.5-9B is a 9 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 across knowledge, reasoning, coding, and multilingual tasks.

Fecha de lanzamiento
2026-03-02
Parámetros
9.0B
Longitud del contexto
262K
Modalidades
image, text, video

Radar de capacidades

12
general
24
coding
79
reasoning
57
science
70
agents
60
multimodal

Rankings

Dominio#PosiciónPuntuaciónFuente
Capacidad agéntica100
35.0
LS
Ranking de codificación388
35.0
AA
Ranking general341
40.0
AA
Ciencia296
47.0
AA

Puntuaciones de benchmarks (LLM Stats)

(LLM Stats (zeroeval))

Agents

t2-bench79.1%Aut.
VITA-Bench29.8%Aut.
DeepPlanning18.0%Aut.

Chat

IFEvalGoogle Research (2023)91.5%Aut.
Multi-Challenge54.5%Aut.

General

C-Eval88.2%Aut.
MAXIFE83.4%Aut.
Include75.6%Aut.
NOVA-6355.9%Aut.

Instruction Following

IFBench64.5%Aut.

Language

MMLU-Redux91.1%Aut.
MMLU-Pro82.5%Aut.
MMMLU81.2%Aut.
MMLU-ProX76.3%Aut.
WMT24++72.6%Aut.

Long Context

LongBench v255.2%Aut.

Math

HMMT 202583.2%Aut.
HMMT2582.9%Aut.
PolyMATH57.3%Aut.

Reasoning

Global PIQA83.2%Aut.
GPQANYU + Cohere + Anthropic (2023)81.7%Aut.
LiveCodeBench v665.6%Aut.
AA-LCR63.0%Aut.
SuperGPQA58.2%Aut.

Tool Calling

BFCL-V466.1%Aut.

Índices de evaluación AA

(Artificial Analysis)
Tau2(Sierra + U Toronto + Vector Institute (2025))
85.1
Gpqa(NYU + Cohere + Anthropic (2023))
78.6
Lcr(Artificial Analysis)
46.0
Ifbench(Google Research (2023))
37.8
Coding Index(Artificial Analysis)
23.5
Terminalbench V2 1
21.3
Terminalbench Hard(Stanford × Laude Institute (2026))
18.2
Intelligence Index(Artificial Analysis)
13.3
Hle(Center for AI Safety + Scale AI (2025))
9.4

Puntuaciones por categoría LLM Stats

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

Precios

Precio de entrada$0.17 / 1M tokens
Precio de salida$0.25 / 1M tokens
Precio mixto (3:1)$0.19 / 1M tokens

Velocidad

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

Ranking de Precios por Proveedor

Ranking de Precios por Proveedor

2 proveedores

Más barato: DeepInfraMás caro: Alibaba
ProveedorEntradaSalida
1DeepInfraMás barato
$0
$0
2AlibabaPRINCIPAL
$0.17
$0.25

Comparar precios entre diferentes proveedores de API para este modelo.

Fuentes externas

LLM StatsArtificial Analysis