मुख्य सामग्री पर जाएं

Qwen3 VL 30B A3B 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
2025-10-03
पैरामीटर
31.0B
संदर्भ लंबाई
262K
मोडैलिटीज़
image, text, video

क्षमता रडार

28
general
48
coding
72
reasoning
50
science
70
agents
100
multimodal

रैंकिंग

बेंचमार्क स्कोर (LLM Stats)

(LLM Stats (zeroeval))

Chat

MM-MT-Bench8.10 / 100स्वयं
IFEvalGoogle Research (2023)85.8%स्वयं
Multi-IF66.1%स्वयं

Creativity

Creative Writing v384.6%स्वयं

Factuality

SimpleQA27.0%स्वयं

General

MMLU85.0%स्वयं
MLVU-M81.3%स्वयं
Include71.6%स्वयं
BFCL-v366.3%स्वयं
Arena-Hard v258.5%स्वयं

Language

MMLU-Redux88.4%स्वयं
MMLU-Pro77.8%स्वयं
MMLU-ProX70.9%स्वयं

Math

MathVista-Mini80.1%स्वयं
AIME 202569.3%स्वयं
LiveBench 2024112565.4%स्वयं
MathVision60.2%स्वयं
HMMT2550.6%स्वयं
PolyMATH44.3%स्वयं

Multimodal

Video-MME74.5%स्वयं
VideoMMMU68.7%स्वयं
OSWorld30.3%स्वयं

Reasoning

CharXiv-D85.5%स्वयं
GPQANYU + Cohere + Anthropic (2023)70.4%स्वयं
SuperGPQA53.1%स्वयं
CharXiv-R48.9%स्वयं
LiveCodeBench v642.6%स्वयं

Video

CharadesSTA63.5%स्वयं

Vision

DocVQAtest95.0%स्वयं
ScreenSpot94.7%स्वयं
OCRBench90.3%स्वयं
MMBench-V1.187.0%स्वयं
AI2D85.0%स्वयं
InfoVQAtest82.0%स्वयं
CC-OCR80.7%स्वयं
MMMU (val)74.2%स्वयं
RealWorldQA73.7%स्वयं
MVBench72.3%स्वयं
MMStar72.1%स्वयं
BLINK67.7%स्वयं
OCRBench-V2 (en)63.2%स्वयं
MuirBench62.9%स्वयं
LVBench62.5%स्वयं
Hallusion Bench61.5%स्वयं
ScreenSpot Pro60.5%स्वयं
MMMU-Pro60.4%स्वयं
OCRBench-V2 (zh)57.8%स्वयं
ODinW47.5%स्वयं
ERQA43.0%स्वयं

Writing

WritingBench82.6%स्वयं

AA मूल्यांकन सूचकांक

(Artificial Analysis)
Mmlu Pro(TIGER-Lab (Univ. of Waterloo, Toronto, CMU, 2024))
76.4
Aime 25(MAA (Mathematical Association of America))
72.3
Math Index(Artificial Analysis)
72.3
Gpqa(NYU + Cohere + Anthropic (2023))
69.5
Livecodebench(UC Berkeley + MIT + Cornell (2024))
47.6
Ifbench(Google Research (2023))
33.1
Tau2(Sierra + U Toronto + Vector Institute (2025))
19.0
Intelligence Index(Artificial Analysis)
7.9
Hle(Center for AI Safety + Scale AI (2025))
6.3
Terminalbench Hard(Stanford × Laude Institute (2026))
6.1

LLM Stats श्रेणी स्कोर

(LLM Stats (zeroeval))
Chat
3
Communication
3
Multimodal
100
Instruction Following
80
Language
80
Structured Output
80
General
80
Grounding
80
Creativity
80
Text-to-image
80
Writing
80
Image To Text
70
Legal
70
Math
70
Reasoning
70
Spatial Reasoning
70
Finance
70
Healthcare
70
3d
70
Biology
70
Tool Calling
70
Video
70
Vision
70
Long Context
60
Physics
60
Chemistry
60
Agents
50
Economics
50
Factuality
30

मूल्य निर्धारण

इनपुट मूल्य$0.2 / 1M टोकन
आउटपुट मूल्य$0.8 / 1M टोकन
मिश्रित मूल्य (3:1)$0.35 / 1M टोकन

गति

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

प्रदाता मूल्य रैंकिंग

प्रदाता मूल्य रैंकिंग

6 प्रदाता

सबसे सस्ता: DeepInfraसबसे महंगा: NovitaAI
प्रदाताइनपुटआउटपुट
1DeepInfraसबसे सस्ता
$0
$0
2Kilo Gateway
$0.13
$0.52
3OpenRouter
$0.15
$0.6
4DevPass (LLM Gateway)
$0.15
$0.6
5Alibabaप्राथमिक
$0.2
$0.8
6NovitaAI
$0.2
$0.7

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

बाहरी लिंक