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Qwen3.5 122B A10B (Non-reasoning)

AlibabaQwenOpen WeightApache 2.0 · Uso Comercial

Descripción

Qwen3.5-122B-A10B is a multimodal Mixture-of-Experts model with 122 billion total parameters and 10 billion activated parameters. It combines strong reasoning, coding, long-context, and visual understanding performance with production-friendly efficiency and a native 262K context window.

Fecha de lanzamiento
2026-02-24
Parámetros
122.0B
Longitud del contexto
262K
Modalidades
audio, image, text, video

Radar de capacidades

26
general
42
coding
83
reasoning
53
science
60
agents
80
multimodal

Rankings

Dominio#PosiciónPuntuaciónFuente
Capacidad agéntica79
45.0
LS
Ranking de codificación184
57.0
AA
Ranking general193
57.0
AA
Ranking multimodal24
59.0
LS
Ciencia181
57.0
AA

Puntuaciones de benchmarks (LLM Stats)

(LLM Stats (zeroeval))

3d

SUNRGBD0.36 / 100Aut.
Hypersim0.13 / 100Aut.

Agents

t2-bench79.5%Aut.
BFCL-V472.2%Aut.
AndroidWorld_SR66.4%Aut.
BrowseCompOpenAI (2025)63.8%Aut.
FullStackBench en62.6%Aut.
WideSearch60.5%Aut.
FullStackBench zh58.7%Aut.
OSWorld-Verified58.0%Aut.
TIR-Bench53.2%Aut.
Terminal-Bench 2.0Stanford × Laude Institute (2026)49.4%Aut.
VITA-Bench33.6%Aut.
DeepPlanning24.1%Aut.

Biology

GPQANYU + Cohere + Anthropic (2023)86.6%Aut.

Chemistry

SuperGPQA67.1%Aut.

Code

SWE-Bench Verified72.0%Aut.

Communication

Multi-Challenge61.5%Aut.

Embodied

EmbSpatialBench0.84 / 100Aut.

Finance

MMLU-Pro86.7%Aut.
MMLU-ProX82.2%Aut.

General

MMLU-Redux94.0%Aut.
IFEvalGoogle Research (2023)93.4%Aut.
C-Eval91.9%Aut.
Global PIQA88.4%Aut.
MAXIFE87.9%Aut.
MMMLU86.7%Aut.
MMMU83.9%Aut.
MMStar82.9%Aut.
Include82.8%Aut.
LiveCodeBench v678.9%Aut.
MMMU-Pro76.9%Aut.
IFBench76.1%Aut.
SimpleVQA0.62 / 100Aut.
LongBench v260.2%Aut.
NOVA-6358.6%Aut.

Grounding

RefCOCO-avg0.91 / 100Aut.
ScreenSpot Pro70.4%Aut.
RefSpatialBench0.69 / 100Aut.

Healthcare

VideoMMMU82.0%Aut.
SlakeVQA81.6%Aut.
MedXpertQA67.3%Aut.
PMC-VQA63.3%Aut.

Image To Text

OCRBench92.1%Aut.

Language

LingoQA80.8%Aut.
WMT24++78.3%Aut.

Long Context

MLVU87.3%Aut.
LVBench74.4%Aut.
AA-LCR66.9%Aut.
MMLongBench-Doc0.59 / 100Aut.

Math

HMMT 202591.4%Aut.
HMMT2590.3%Aut.
MathVista-Mini87.4%Aut.
MathVision86.2%Aut.
DynaMath85.9%Aut.
CodeForces0.85 / 3000Aut.
PolyMATH68.9%Aut.
Humanity's Last Exam47.5%Aut.

Multimodal

VLMsAreBlind96.7%Aut.
AI2D93.3%Aut.
V*93.2%Aut.
MMBench-V1.192.8%Aut.
OmniDocBench 1.589.8%Aut.
VideoMME w sub.87.3%Aut.
VideoMME w/o sub.83.9%Aut.
CC-OCR81.8%Aut.
CharXiv-R77.2%Aut.
MVBench76.6%Aut.
MMVU74.7%Aut.
BabyVision40.2%Aut.
ZEROBench-Sub0.36 / 100Aut.
Nuscene15.4%Aut.
ZEROBench0.09 / 100Aut.

Reasoning

CountBench0.97 / 100Aut.
BrowseComp-zh69.9%Aut.
Hallusion Bench67.6%Aut.
ERQA62.0%Aut.
Seal-044.1%Aut.
OJBench39.5%Aut.

Spatial Reasoning

RealWorldQA85.1%Aut.

Vision

ODinW44.5%Aut.

Índices de evaluación AA

(Artificial Analysis)
Coding Index(Artificial Analysis)
43.3
Intelligence Index(Artificial Analysis)
28.2
Tau2(Sierra + U Toronto + Vector Institute (2025))
0.8
Gpqa(NYU + Cohere + Anthropic (2023))
0.8
Lcr(Artificial Analysis)
0.6
Ifbench(Google Research (2023))
0.5
Terminalbench V2 1
0.5
Scicode(UIUC + Argonne National Lab (2024))
0.4
Terminalbench Hard(Stanford × Laude Institute (2026))
0.3
Hle(Center for AI Safety + Scale AI (2025))
0.2
Tau Banking
0.1

Puntuaciones por categoría LLM Stats

(LLM Stats (zeroeval))
Biology
90
Legal
80
Math
80
Physics
80
Structured Output
80
Image To Text
80
Instruction Following
80
Language
80
Embodied
80
Finance
80
Grounding
80
Healthcare
80
Chemistry
80
Text-to-image
80
Video
80
Long Context
70
Multimodal
70
Reasoning
70
Spatial Reasoning
70
Frontend Development
70
General
70
Economics
70
Vision
70
Search
60
Agents
60
Code
60
Communication
60
Tool Calling
60
Spatial
20
3d
20

Precios

Precio de entrada$0.4 / 1M tokens
Precio de salida$3.2 / 1M tokens
Precio mixto (3:1)$1.1 / 1M tokens

Velocidad

Tokens/seg148.9
Retraso del primer token1.03s
Tiempo hasta la respuesta1.03s

Ranking de Precios por Proveedor

Ranking de Precios por Proveedor

3 proveedores

Más barato: AlibabaMás caro: Cortecs
ProveedorEntradaSalida
1AlibabaPRINCIPAL
$0.4
$3.2
2NanoGPT
$0.437
$3.496
3Cortecs
$0.495
$3.46

Comparar precios entre diferentes proveedores de API para este modelo.

Fuentes externas

LLM StatsArtificial Analysis