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Qwen3 VL 235B A22B Instruct

AlibabaQwenOpen WeightApache 2.0 · Commercial OK

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
2025-09-23
參數規模
236.0B
上下文長度
262K
支援模態
image, text, video

能力雷達圖

37
general
33
coding
71
reasoning
46
science估算
70
agents
90
multimodal

Science 在缺少專門科學評測時使用推理能力代理估算。

排行榜排名

領域#排名分數來源
智能体与工具22
67.0
LS
代码能力榜239
35.0
AA
通用能力榜227
46.0
AA
数学推理118
71.0
AA
多模态榜31
79.0
LS
推理能力72
56.0
LS
科学能力191
49.0
AA

基準測試分數 (LLM Stats)

3d

BLINK70.7%自報

Agents

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

Chemistry

SuperGPQA60.4%自報

Communication

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

Creativity

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

Factuality

SimpleQA51.9%自報

Finance

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

General

MMLU-Redux92.2%自報
IFEval87.8%自報
MultiPL-E86.1%自報
CSimpleQA83.4%自報
Include80.0%自報
MMMUval78.7%自報
MMStar78.4%自報
LiveBench 2024112574.8%自報
MMMU-Pro68.1%自報
LiveCodeBench v561.4%自報
LiveCodeBench v654.3%自報

Grounding

ScreenSpot95.4%自報
ScreenSpot Pro62.0%自報

Healthcare

VideoMMMU74.7%自報

Image To Text

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

Language

CharadesSTA64.8%自報

Long Context

MLVU84.3%自報
LVBench67.7%自報

Math

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

Multimodal

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

Reasoning

Hallusion Bench63.2%自報
ERQA51.3%自報

Spatial Reasoning

RealWorldQA79.3%自報

Vision

ODinW48.6%自報

AA 評測指數

Math Index
70.7
Intelligence Index
20.8
Coding Index
16.5
Mmlu Pro
0.8
Gpqa
0.7
Aime 25
0.7
Livecodebench
0.6
Ifbench
0.4
Scicode
0.4
Tau2
0.4
Lcr
0.3
Terminalbench Hard
0.1
Hle
0.1

LLM Stats 分類評分

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

定價

輸入價格$0.3 / 1M tokens
輸出價格$1.9 / 1M tokens
混合價格(3:1)$0.7 / 1M tokens

速度

Tokens/秒48.8 tokens/s
首Token延遲1.13s
首回答延遲1.13s

可用提供商

(LS 內部計價單位)
提供商輸入價格輸出價格
Novita300K1.5M
DeepInfra300K1.5M

外部連結