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Qwen3 VL 235B A22B (Reasoning)

AlibabaQwenOpen WeightApache 2.0 · Usage Commercial

Description

Qwen3-VL-235B-A22B-Thinking is the most powerful vision-language model in the Qwen series, featuring 236B parameters with MoE architecture for reasoning-enhanced multimodal understanding. Key capabilities include: Visual Agent (operates PC/mobile GUIs, recognizes elements, invokes tools), Visual Coding (generates Draw.io/HTML/CSS/JS from images/videos), Advanced Spatial Perception (2D grounding and 3D grounding for spatial reasoning and embodied AI), Long Context & Video Understanding (native 256K context expandable to 1M, handles hours-long video with second-level indexing), Enhanced Multimodal Reasoning (excels in STEM/Math with causal analysis), Upgraded Visual Recognition (celebrities, anime, products, landmarks, flora/fauna), and Expanded OCR (32 languages, robust in low light/blur/tilt). Architecture innovations include Interleaved-MRoPE for positional embeddings, DeepStack for multi-level ViT feature fusion, and Text-Timestamp Alignment for precise video temporal modeling.

Date de sortie
2025-09-23
Paramètres
236.0B
Longueur du contexte
131K
Modalités
image, text, video

Radar de capacités

34
general
65
coding
86
reasoning
57
science
70
agents
100
multimodal

Classements

Domaine#RangScoreSource
Classement codage281
53.0
AA
Classement général235
50.0
AA
Classement multimodal82
51.0
LS
Science285
48.0
AA

Scores de benchmarks (LLM Stats)

(LLM Stats (zeroeval))

Chat

MM-MT-Bench8.50 / 100Aut.
IFEvalGoogle Research (2023)88.2%Aut.
Multi-IF79.1%Aut.

Creativity

Creative Writing v385.7%Aut.

Factuality

SimpleQA44.4%Aut.

General

MMLU90.6%Aut.
Include80.0%Aut.
SIFO0.77 / 100Aut.
BFCL-v371.9%Aut.
SIFO-Multiturn0.71 / 100Aut.

Language

MMLU-Redux93.7%Aut.
MMLU-Pro83.8%Aut.
MMLU-ProX80.6%Aut.

Math

AIME 202589.7%Aut.
MathVista-Mini85.8%Aut.
MathVerse-Mini0.85 / 100Aut.
LiveBench 2024112579.6%Aut.
HMMT2577.4%Aut.
MathVision74.6%Aut.

Multimodal

VideoMMMU80.0%Aut.
VideoMME w/o sub.79.0%Aut.
OSWorld-G0.68 / 100Aut.
OSWorld38.1%Aut.

Reasoning

ZebraLogic97.3%Aut.
LiveCodeBench v670.1%Aut.
CharXiv-R66.1%Aut.
SuperGPQA64.3%Aut.
Humanity's Last Exam13.6%Aut.

Video

MLVU83.8%Aut.
CharadesSTA63.5%Aut.

Vision

DocVQAtest96.5%Aut.
ScreenSpot95.4%Aut.
CountBench0.94 / 100Aut.
Design2Code0.93 / 100Aut.
MIABench0.93 / 100Aut.
RefCOCO-avg0.92 / 100Aut.
MMBench-V1.190.6%Aut.
InfoVQAtest89.5%Aut.
AI2D89.2%Aut.
OCRBench87.5%Aut.
EmbSpatialBench0.84 / 100Aut.
CC-OCR81.5%Aut.
RealWorldQA81.3%Aut.
MMMUval80.6%Aut.
MuirBench80.1%Aut.
MMStar78.7%Aut.
RoboSpatialHome0.74 / 100Aut.
Objectron0.71 / 100Aut.
RefSpatialBench0.70 / 100Aut.
MMMU-Pro69.3%Aut.
BLINK67.1%Aut.
OCRBench-V2 (en)66.8%Aut.
Hallusion Bench66.7%Aut.
LVBench63.6%Aut.
OCRBench-V2 (zh)63.5%Aut.
ScreenSpot Pro61.8%Aut.
SimpleVQA0.61 / 100Aut.
MMLongBench-Doc0.56 / 100Aut.
ARKitScenes0.54 / 100Aut.
ERQA52.5%Aut.
ODinW43.2%Aut.
SUNRGBD0.35 / 100Aut.
VisuLogic0.34 / 100Aut.
ZEROBench-Sub0.28 / 100Aut.
Hypersim0.11 / 100Aut.
ZEROBench0.04 / 100Aut.

Writing

WritingBench86.7%Aut.

Indices d'évaluation AA

(Artificial Analysis)
Aime 25(MAA (Mathematical Association of America))
88.3
Math Index(Artificial Analysis)
88.3
Mmlu Pro(TIGER-Lab (Univ. of Waterloo, Toronto, CMU, 2024))
83.6
Gpqa(NYU + Cohere + Anthropic (2023))
77.2
Livecodebench(UC Berkeley + MIT + Cornell (2024))
64.6
Lcr(Artificial Analysis)
63.7
Ifbench(Google Research (2023))
56.5
Tau2(Sierra + U Toronto + Vector Institute (2025))
54.1
Intelligence Index(Artificial Analysis)
13.4
Hle(Center for AI Safety + Scale AI (2025))
11.9
Terminalbench Hard(Stanford × Laude Institute (2026))
11.4

Scores par catégorie LLM Stats

(LLM Stats (zeroeval))
Chat
3
Communication
3
Multimodal
100
Creativity
90
Writing
90
Instruction Following
80
Language
80
Legal
80
Math
80
Structured Output
80
Embodied
80
Finance
80
General
80
Grounding
80
Healthcare
80
Text-to-image
80
Video
80
Image To Text
70
Long Context
70
Reasoning
70
Spatial Reasoning
70
Tool Calling
70
Vision
70
Physics
60
Agents
60
Chemistry
60
Economics
60
Factuality
40
3d
40

Tarification

Prix d'entrée$0.4 / 1M tokens
Prix de sortie$4 / 1M tokens
Prix mixte (3:1)$1.3 / 1M tokens

Vitesse

Tokens/sec0.0
Délai du premier token0.00s
Temps de réponse0.00s

Classement des Prix par Fournisseur

Classement des Prix par Fournisseur

11 fournisseurs

Moins cher: Venice AIPlus cher: NovitaAI
FournisseurEntréeSortie
1Venice AIMoins cher
$0.21
$1.9
2Alibaba (China)
$0.28671
$1.14682
3Merge Gateway
$0.287
$2.867
4AlibabaPRINCIPAL
$0.4
$4
5OpenRouter
$0.4
$4
6Kilo Gateway
$0.4
$4
7OrcaRouter
$0.4
$4
8Eden AI
$0.4
$4
9NanoGPT
$0.5
$6
10Cortecs
$0.617
$3.119
11NovitaAI
$0.98
$3.95

Comparer les prix entre différents fournisseurs API pour ce modèle.

Sources externes