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Qwen3 VL 30B A3B Instruct

AlibabaQwen開源權重Apache 2.0 · 商用許可

描述

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.

發布日期
2025-10-03
參數規模
31.0B
上下文長度
262K
支援模態
image, text, video

能力雷達圖

29
general
44
coding
72
reasoning
43
science
70
agents
100
multimodal

排行榜排名

領域#排名分數來源
智慧體能力模型榜134
33.0
LS
程式碼能力榜347
31.0
AA
通用能力榜409
32.0
AA
多模態榜71
36.0
LS
科學能力316
44.0
AA

基準測試分數 (LLM Stats)

(LLM Stats (zeroeval))

3d

BLINK67.7%自報

Agents

BFCL-v366.3%自報
OSWorld30.3%自報

Biology

GPQANYU + Cohere + Anthropic (2023)70.4%自報

Chemistry

SuperGPQA53.1%自報

Communication

MM-MT-Bench8.10 / 100自報
WritingBench82.6%自報
Multi-IF66.1%自報

Creativity

Creative Writing v384.6%自報
Arena-Hard v258.5%自報

Factuality

SimpleQA27.0%自報

Finance

MMLU85.0%自報
MMLU-Pro77.8%自報
MMLU-ProX70.9%自報

General

MMLU-Redux88.4%自報
IFEvalGoogle Research (2023)85.8%自報
MLVU-M81.3%自報
MMMU (val)74.2%自報
MMStar72.1%自報
Include71.6%自報
LiveBench 2024112565.4%自報
MMMU-Pro60.4%自報
LiveCodeBench v642.6%自報

Grounding

ScreenSpot94.7%自報
ScreenSpot Pro60.5%自報

Healthcare

VideoMMMU68.7%自報

Image To Text

OCRBench90.3%自報
OCRBench-V2 (en)63.2%自報
OCRBench-V2 (zh)57.8%自報

Language

CharadesSTA63.5%自報

Long Context

LVBench62.5%自報

Math

MathVista-Mini80.1%自報
AIME 202569.3%自報
MathVision60.2%自報
HMMT2550.6%自報
PolyMATH44.3%自報

Multimodal

DocVQAtest95.0%自報
MMBench-V1.187.0%自報
CharXiv-D85.5%自報
AI2D85.0%自報
InfoVQAtest82.0%自報
CC-OCR80.7%自報
Video-MME74.5%自報
MVBench72.3%自報
MuirBench62.9%自報
CharXiv-R48.9%自報

Reasoning

Hallusion Bench61.5%自報
ERQA43.0%自報

Spatial Reasoning

RealWorldQA73.7%自報

Vision

ODinW47.5%自報

AA 評測指數

(Artificial Analysis)
Math Index(Artificial Analysis)
72.3
Intelligence Index(Artificial Analysis)
9.9
Mmlu Pro(TIGER-Lab (Univ. of Waterloo, Toronto, CMU, 2024))
0.8
Aime 25(MAA (Mathematical Association of America))
0.7
Gpqa(NYU + Cohere + Anthropic (2023))
0.7
Livecodebench(UC Berkeley + MIT + Cornell (2024))
0.5
Ifbench(Google Research (2023))
0.3
Scicode(UIUC + Argonne National Lab (2024))
0.3
Lcr(Artificial Analysis)
0.3
Tau2(Sierra + U Toronto + Vector Institute (2025))
0.2
Hle(Center for AI Safety + Scale AI (2025))
0.1
Terminalbench Hard(Stanford × Laude Institute (2026))
0.1

LLM Stats 分類評分

(LLM Stats (zeroeval))
Communication
3
Multimodal
100
Structured Output
80
Instruction Following
80
Language
80
General
80
Grounding
80
Creativity
80
Text-to-image
80
Writing
80
Legal
70
Math
70
Reasoning
70
Spatial Reasoning
70
Image To Text
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

定價

輸入價格$0.2 / 1M tokens
輸出價格$0.8 / 1M tokens
混合價格(3:1)$0.35 / 1M tokens

速度

Tokens/秒0.0
首Token延遲0.00s
首回答延遲0.00s

供應商價格排行

供應商價格排行

5 個供應商

最便宜: Kilo Gateway最貴: NovitaAI
供應商輸入輸出
1Kilo Gateway最便宜
$0.13
$0.52
2OpenRouter
$0.15
$0.6
3LLM Gateway
$0.15
$0.6
4Alibaba主要
$0.2
$0.8
5NovitaAI
$0.2
$0.7

比較該模型在不同 API 供應商之間的定價。

外部連結