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Qwen3 VL 235B A22B Instruct

AlibabaQwenओपन वेटApache 2.0 · व्यावसायिक उपयोग

विवरण

Qwen3-VL is a large multimodal model that unifies vision, language, and reasoning to achieve human-level perception and cognition across text, images, and video. Built on a 235B-parameter architecture, it integrates early joint training of visual and textual modalities for strong language grounding. The model supports up to a 1 million-token context window and excels at visual understanding, spatial reasoning, long video comprehension, and tool-based interaction. It can generate code from images, perform precise 2D/3D object grounding, and operate digital interfaces like a visual agent. The “Instruct” version rivals Gemini 2.5 Pro in perception benchmarks, while the “Thinking” version leads in multimodal reasoning and STEM tasks. With multilingual OCR, creative writing, and fine-grained scene interpretation, Qwen3-VL establishes a new open-source frontier for integrated vision-language intelligence.

रिलीज़ तिथि
2025-09-23
पैरामीटर
236.0B
संदर्भ लंबाई
262K
मोडैलिटीज़
image, text, video

क्षमता रडार

34
general
54
coding
71
reasoning
46
science
70
agents
90
multimodal

रैंकिंग

बेंचमार्क स्कोर (LLM Stats)

(LLM Stats (zeroeval))

3d

BLINK70.7%स्वयं

Agents

BFCL-v367.7%स्वयं
OSWorld66.7%स्वयं
AndroidWorld_SR63.7%स्वयं

Chemistry

SuperGPQA60.4%स्वयं

Communication

MM-MT-Bench8.50 / 100स्वयं
WritingBench85.5%स्वयं
Multi-IF76.3%स्वयं

Creativity

Creative Writing v386.5%स्वयं
Arena-Hard v277.4%स्वयं

Factuality

SimpleQA51.9%स्वयं

Finance

MMLU88.8%स्वयं
MMLU-Pro81.8%स्वयं
MMLU-ProX77.8%स्वयं

General

MMLU-Redux92.2%स्वयं
IFEvalGoogle Research (2023)87.8%स्वयं
MultiPL-E86.1%स्वयं
CSimpleQA83.4%स्वयं
Include80.0%स्वयं
MMMUval78.7%स्वयं
MMStar78.4%स्वयं
LiveBench 2024112574.8%स्वयं
MMMU-Pro68.1%स्वयं
LiveCodeBench v561.4%स्वयं
LiveCodeBench v654.3%स्वयं

Grounding

ScreenSpot95.4%स्वयं
ScreenSpot Pro62.0%स्वयं

Healthcare

VideoMMMU74.7%स्वयं

Image To Text

OCRBench92.0%स्वयं
OCRBench-V2 (en)67.1%स्वयं
OCRBench-V2 (zh)61.8%स्वयं

Language

CharadesSTA64.8%स्वयं

Long Context

MLVU84.3%स्वयं
LVBench67.7%स्वयं

Math

MathVista-Mini84.9%स्वयं
AIME 202574.7%स्वयं
MathVision66.5%स्वयं
HMMT2557.4%स्वयं

Multimodal

DocVQAtest97.1%स्वयं
MMBench-V1.189.9%स्वयं
AI2D89.7%स्वयं
InfoVQAtest89.2%स्वयं
CC-OCR82.2%स्वयं
VideoMME w/o sub.79.2%स्वयं
MuirBench72.8%स्वयं
CharXiv-R62.1%स्वयं

Reasoning

Hallusion Bench63.2%स्वयं
ERQA51.3%स्वयं

Spatial Reasoning

RealWorldQA79.3%स्वयं

Vision

ODinW48.6%स्वयं

AA मूल्यांकन सूचकांक

(Artificial Analysis)
Math Index(Artificial Analysis)
70.7
Intelligence Index(Artificial Analysis)
14.4
Mmlu Pro(TIGER-Lab (Univ. of Waterloo, Toronto, CMU, 2024))
0.8
Gpqa(NYU + Cohere + Anthropic (2023))
0.7
Aime 25(MAA (Mathematical Association of America))
0.7
Livecodebench(UC Berkeley + MIT + Cornell (2024))
0.6
Ifbench(Google Research (2023))
0.4
Scicode(UIUC + Argonne National Lab (2024))
0.4
Tau2(Sierra + U Toronto + Vector Institute (2025))
0.4
Lcr(Artificial Analysis)
0.3
Terminalbench Hard(Stanford × Laude Institute (2026))
0.1
Hle(Center for AI Safety + Scale AI (2025))
0.1

LLM Stats श्रेणी स्कोर

(LLM Stats (zeroeval))
Communication
3
Multimodal
1
General
90
Instruction Following
80
Language
80
Legal
80
Long Context
80
Math
80
Structured Output
80
Finance
80
Grounding
80
Healthcare
80
Creativity
80
Text-to-image
80
Video
80
Writing
80
Image To Text
70
Reasoning
70
Spatial Reasoning
70
3d
70
Agents
70
Tool Calling
70
Vision
70
Physics
60
Chemistry
60
Economics
60
Factuality
50

मूल्य निर्धारण

इनपुट मूल्य$0.7 / 1M टोकन
आउटपुट मूल्य$2.8 / 1M टोकन
मिश्रित मूल्य (3:1)$1.225 / 1M टोकन

गति

टोकन/सेकंड0.0
पहले टोकन में देरी0.00s
पहले उत्तर में देरी0.00s

प्रदाता मूल्य रैंकिंग

प्रदाता मूल्य रैंकिंग

7 प्रदाता

सबसे सस्ता: LLM Gatewayसबसे महंगा: Alibaba
प्रदाताइनपुटआउटपुट
1LLM Gatewayसबसे सस्ता
$0.2
$0.88
2TensorX
$0.21
$1.9
3OpenRouter
$0.26
$1.04
4Kilo Gateway
$0.26
$1.04
5NovitaAI
$0.3
$1.5
6Helicone
$0.3
$1.5
7Alibabaप्राथमिक
$0.7
$2.8

इस मॉडल के लिए विभिन्न API प्रदाताओं के मूल्य निर्धारण की तुलना करें।

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