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Qwen3 VL 8B 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
2025-10-14
पैरामीटर
9.0B
संदर्भ लंबाई
262K
मोडैलिटीज़
image, text, video

क्षमता रडार

25
general
30
coding
30
reasoning
26
science
70
agents
100
multimodal

रैंकिंग

बेंचमार्क स्कोर (LLM Stats)

(LLM Stats (zeroeval))

3d

BLINK69.1%स्वयं

Agents

BFCL-v366.3%स्वयं
OSWorld33.9%स्वयं

Chemistry

SuperGPQA44.5%स्वयं

Communication

MM-MT-Bench7.70 / 100स्वयं
WritingBench83.1%स्वयं
Multi-IF75.1%स्वयं

Finance

MMLU80.7%स्वयं
MMLU-Pro71.6%स्वयं
MMLU-ProX65.4%स्वयं

General

MMLU-Redux84.9%स्वयं
IFEvalGoogle Research (2023)83.7%स्वयं
MLVU-M78.1%स्वयं
MMStar70.9%स्वयं
MMMU (val)69.6%स्वयं
Include67.0%स्वयं
LiveBench 2024112562.0%स्वयं
MMMU-Pro55.9%स्वयं
LiveCodeBench v639.3%स्वयं

Grounding

ScreenSpot94.4%स्वयं
ScreenSpot Pro54.6%स्वयं

Healthcare

VideoMMMU65.3%स्वयं

Image To Text

OCRBench89.6%स्वयं
OCRBench-V2 (en)65.4%स्वयं
OCRBench-V2 (zh)61.2%स्वयं

Language

CharadesSTA56.0%स्वयं

Long Context

LVBench58.0%स्वयं

Math

MathVista-Mini77.2%स्वयं
MathVision53.9%स्वयं
AIME 202545.9%स्वयं
HMMT2532.5%स्वयं
PolyMATH30.4%स्वयं

Multimodal

DocVQAtest96.1%स्वयं
AI2D85.7%स्वयं
MMBench-V1.185.0%स्वयं
InfoVQAtest83.1%स्वयं
CharXiv-D83.0%स्वयं
CC-OCR79.9%स्वयं
Video-MME71.4%स्वयं
MVBench68.7%स्वयं
MuirBench64.4%स्वयं
CharXiv-R46.4%स्वयं

Reasoning

Hallusion Bench61.1%स्वयं
ERQA45.8%स्वयं

Spatial Reasoning

RealWorldQA71.5%स्वयं

Vision

ODinW44.7%स्वयं

AA मूल्यांकन सूचकांक

(Artificial Analysis)
Math Index(Artificial Analysis)
27.3
Intelligence Index(Artificial Analysis)
8.2
Mmlu Pro(TIGER-Lab (Univ. of Waterloo, Toronto, CMU, 2024))
0.7
Gpqa(NYU + Cohere + Anthropic (2023))
0.4
Livecodebench(UC Berkeley + MIT + Cornell (2024))
0.3
Ifbench(Google Research (2023))
0.3
Tau2(Sierra + U Toronto + Vector Institute (2025))
0.3
Aime 25(MAA (Mathematical Association of America))
0.3
Scicode(UIUC + Argonne National Lab (2024))
0.2
Lcr(Artificial Analysis)
0.2
Hle(Center for AI Safety + Scale AI (2025))
0.0
Terminalbench Hard(Stanford × Laude Institute (2026))
0.0

LLM Stats श्रेणी स्कोर

(LLM Stats (zeroeval))
Communication
3
Multimodal
100
Structured Output
80
Instruction Following
80
General
80
Creativity
80
Text-to-image
80
Writing
80
Legal
70
Image To Text
70
Language
70
Finance
70
Grounding
70
Healthcare
70
3d
70
Tool Calling
70
Vision
70
Long Context
60
Math
60
Reasoning
60
Spatial Reasoning
60
Video
60
Agents
50
Physics
40
Chemistry
40
Economics
40

मूल्य निर्धारण

इनपुट मूल्य$0.18 / 1M टोकन
आउटपुट मूल्य$0.7 / 1M टोकन
मिश्रित मूल्य (3:1)$0.31 / 1M टोकन

गति

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

प्रदाता मूल्य रैंकिंग

प्रदाता मूल्य रैंकिंग

4 प्रदाता

सबसे सस्ता: NovitaAIसबसे महंगा: Alibaba
प्रदाताइनपुटआउटपुट
1NovitaAIसबसे सस्ता
$0.08
$0.5
2OpenRouter
$0.117
$0.455
3Kilo Gateway
$0.117
$0.455
4Alibabaप्राथमिक
$0.18
$0.7

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