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
18
general
24
coding
79
reasoning
47
science
70
agents
60
multimodal
Rankings
| Dominio | #Posición | Puntuación | Fuente |
|---|---|---|---|
| Capacidad agéntica | 123 | 35.0 | LS |
| Ranking de codificación | 309 | 36.0 | AA |
| Ranking general | 268 | 47.0 | AA |
| Ciencia | 275 | 47.0 | AA |
Puntuaciones de benchmarks (LLM Stats)
(LLM Stats (zeroeval))Agents
t2-bench
79.1%Aut.
BFCL-V4
66.1%Aut.
VITA-Bench
29.8%Aut.
DeepPlanning
18.0%Aut.
Biology
GPQANYU + Cohere + Anthropic (2023)
81.7%Aut.
Chemistry
SuperGPQA
58.2%Aut.
Communication
Multi-Challenge
54.5%Aut.
Finance
MMLU-Pro
82.5%Aut.
MMLU-ProX
76.3%Aut.
General
IFEvalGoogle Research (2023)
91.5%Aut.
MMLU-Redux
91.1%Aut.
C-Eval
88.2%Aut.
MAXIFE
83.4%Aut.
Global PIQA
83.2%Aut.
MMMLU
81.2%Aut.
Include
75.6%Aut.
LiveCodeBench v6
65.6%Aut.
IFBench
64.5%Aut.
NOVA-63
55.9%Aut.
LongBench v2
55.2%Aut.
Language
WMT24++
72.6%Aut.
Long Context
AA-LCR
63.0%Aut.
Math
HMMT 2025
83.2%Aut.
HMMT25
82.9%Aut.
PolyMATH
57.3%Aut.
Índices de evaluación AA
(Artificial Analysis)Coding Index(Artificial Analysis)23.5
Intelligence Index(Artificial Analysis)20.6
Tau2(Sierra + U Toronto + Vector Institute (2025))0.9
Gpqa(NYU + Cohere + Anthropic (2023))0.8
Lcr(Artificial Analysis)0.5
Ifbench(Google Research (2023))0.4
Scicode(UIUC + Argonne National Lab (2024))0.3
Terminalbench V2 10.2
Terminalbench Hard(Stanford × Laude Institute (2026))0.2
Hle(Center for AI Safety + Scale AI (2025))0.1
Puntuaciones por categoría LLM Stats
(LLM Stats (zeroeval))Math80
Instruction Following80
Language80
Biology80
Legal70
Physics70
Reasoning70
Structured Output70
Finance70
General70
Healthcare70
Chemistry70
Tool Calling70
Long Context60
Multimodal60
Spatial Reasoning60
Economics60
Vision60
Agents50
Communication50
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/seg91.8
Retraso del primer token0.46s
Tiempo hasta la respuesta0.46s
Ranking de Precios por Proveedor
Ranking de Precios por Proveedor
7 proveedores
Más barato: NanoGPTMás caro: Alibaba
ProveedorEntradaSalida
1NanoGPTMás barato
$0.05
$0.15
2Merge Gateway
$0.09
$0.13
3OpenRouter
$0.1
$0.15
4Kilo Gateway
$0.1
$0.15
5Mixlayer
$0.1
$0.4
6TensorX
$0.15
$0.2
7AlibabaPRINCIPAL
$0.17
$0.25
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