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Qwen3.5 35B A3B (Non-reasoning)

AlibabaQwenOpen WeightApache 2.0 · Uso Comercial

Descripción

Qwen3.5-35B-A3B is a multimodal Mixture-of-Experts model with 35 billion total parameters and 3 billion activated parameters. It combines strong reasoning, coding, agentic, and visual understanding performance with production-friendly efficiency and a native 262K context window.

Fecha de lanzamiento
2026-02-24
Parámetros
35.0B
Longitud del contexto
262K
Modalidades
audio, image, text, video

Radar de capacidades

22
general
36
coding
82
reasoning
50
science
60
agents
80
multimodal

Rankings

Dominio#PosiciónPuntuaciónFuente
Capacidad agéntica95
40.0
LS
Ranking de codificación248
46.0
AA
Ranking general219
52.0
AA
Ranking multimodal44
47.0
LS
Ciencia218
52.0
AA

Puntuaciones de benchmarks (LLM Stats)

(LLM Stats (zeroeval))

3d

SUNRGBD0.33 / 100Aut.
Hypersim0.13 / 100Aut.

Agents

t2-bench81.2%Aut.
AndroidWorld_SR71.1%Aut.
BFCL-V467.3%Aut.
BrowseCompOpenAI (2025)61.0%Aut.
FullStackBench en58.1%Aut.
WideSearch57.1%Aut.
TIR-Bench55.5%Aut.
FullStackBench zh55.0%Aut.
OSWorld-Verified54.5%Aut.
Terminal-Bench 2.0Stanford × Laude Institute (2026)40.5%Aut.
VITA-Bench31.9%Aut.
DeepPlanning22.8%Aut.

Biology

GPQANYU + Cohere + Anthropic (2023)84.2%Aut.

Chemistry

SuperGPQA63.4%Aut.

Code

SWE-Bench Verified69.2%Aut.

Communication

Multi-Challenge60.0%Aut.

Embodied

EmbSpatialBench0.83 / 100Aut.

Finance

MMLU-Pro85.3%Aut.
MMLU-ProX81.0%Aut.

General

MMLU-Redux93.3%Aut.
IFEvalGoogle Research (2023)91.9%Aut.
C-Eval90.2%Aut.
MAXIFE86.6%Aut.
Global PIQA86.6%Aut.
MMMLU85.2%Aut.
MMStar81.9%Aut.
MMMU81.4%Aut.
Include79.7%Aut.
MMMU-Pro75.1%Aut.
LiveCodeBench v674.6%Aut.
IFBench70.2%Aut.
LongBench v259.0%Aut.
SimpleVQA0.58 / 100Aut.
NOVA-6357.1%Aut.

Grounding

RefCOCO-avg0.89 / 100Aut.
ScreenSpot Pro68.6%Aut.
RefSpatialBench0.64 / 100Aut.

Healthcare

VideoMMMU80.4%Aut.
SlakeVQA78.7%Aut.
PMC-VQA62.0%Aut.
MedXpertQA61.4%Aut.

Image To Text

OCRBench91.0%Aut.

Language

LingoQA79.2%Aut.
WMT24++76.3%Aut.

Long Context

MLVU85.6%Aut.
LVBench71.4%Aut.
MMLongBench-Doc0.59 / 100Aut.
AA-LCR58.5%Aut.

Math

HMMT2589.2%Aut.
HMMT 202589.0%Aut.
MathVista-Mini86.2%Aut.
DynaMath85.0%Aut.
MathVision83.9%Aut.
CodeForces0.82 / 3000Aut.
PolyMATH64.4%Aut.
Humanity's Last Exam47.4%Aut.

Multimodal

VLMsAreBlind97.0%Aut.
V*92.7%Aut.
AI2D92.6%Aut.
MMBench-V1.191.5%Aut.
OmniDocBench 1.589.3%Aut.
VideoMME w sub.86.6%Aut.
VideoMME w/o sub.82.5%Aut.
CC-OCR80.7%Aut.
CharXiv-R77.5%Aut.
MVBench74.8%Aut.
MMVU72.3%Aut.
BabyVision38.4%Aut.
ZEROBench-Sub0.34 / 100Aut.
Nuscene14.6%Aut.
ZEROBench0.08 / 100Aut.

Reasoning

CountBench0.98 / 100Aut.
BrowseComp-zh69.5%Aut.
Hallusion Bench67.9%Aut.
ERQA64.8%Aut.
Seal-041.4%Aut.
OJBench36.0%Aut.

Spatial Reasoning

RealWorldQA84.1%Aut.

Vision

ODinW42.6%Aut.

Índices de evaluación AA

(Artificial Analysis)
Coding Index(Artificial Analysis)
37.0
Intelligence Index(Artificial Analysis)
24.3
Tau2(Sierra + U Toronto + Vector Institute (2025))
0.9
Gpqa(NYU + Cohere + Anthropic (2023))
0.8
Lcr(Artificial Analysis)
0.6
Ifbench(Google Research (2023))
0.4
Terminalbench V2 1
0.4
Scicode(UIUC + Argonne National Lab (2024))
0.3
Hle(Center for AI Safety + Scale AI (2025))
0.1
Terminalbench Hard(Stanford × Laude Institute (2026))
0.1
Tau Banking
0.0

Puntuaciones por categoría LLM Stats

(LLM Stats (zeroeval))
Image To Text
80
Instruction Following
80
Language
80
Legal
80
Math
80
Physics
80
Structured Output
80
Embodied
80
Finance
80
Biology
80
Text-to-image
80
Video
80
Long Context
70
Multimodal
70
Reasoning
70
Spatial Reasoning
70
Frontend Development
70
General
70
Grounding
70
Healthcare
70
Chemistry
70
Vision
70
Search
60
Code
60
Communication
60
Economics
60
Tool Calling
60
Agents
50
3d
20
Spatial
10

Precios

Precio de entrada$0.25 / 1M tokens
Precio de salida$2 / 1M tokens
Precio mixto (3:1)$0.688 / 1M tokens

Velocidad

Tokens/seg164.3
Retraso del primer token1.22s
Tiempo hasta la respuesta1.22s

Ranking de Precios por Proveedor

Ranking de Precios por Proveedor

1 proveedores

ProveedorEntradaSalida
1AlibabaPRINCIPAL
$0.25
$2

Comparar precios entre diferentes proveedores de API para este modelo.

Fuentes externas