Passer au contenu principal

Qwen3.5 122B A10B (Non-reasoning)

AlibabaQwenOpen WeightApache 2.0 · Usage Commercial

Description

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.

Date de sortie
2026-02-24
Paramètres
122.0B
Longueur du contexte
262K
Modalités
audio, image, text, video

Radar de capacités

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

Classements

Domaine#RangScoreSource
Capacité agentique79
45.0
LS
Classement codage184
57.0
AA
Classement général193
57.0
AA
Classement multimodal24
59.0
LS
Science181
57.0
AA

Scores 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.

Indices d'évaluation 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

Scores par catégorie 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

Tarification

Prix d'entrée$0.4 / 1M tokens
Prix de sortie$3.2 / 1M tokens
Prix mixte (3:1)$1.1 / 1M tokens

Vitesse

Tokens/sec148.9
Délai du premier token1.03s
Temps de réponse1.03s

Classement des Prix par Fournisseur

Classement des Prix par Fournisseur

3 fournisseurs

Moins cher: AlibabaPlus cher: Cortecs
FournisseurEntréeSortie
1AlibabaPRINCIPAL
$0.4
$3.2
2NanoGPT
$0.437
$3.496
3Cortecs
$0.495
$3.46

Comparer les prix entre différents fournisseurs API pour ce modèle.

Sources externes