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Qwen3 VL 235B A22B 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
2025-09-23
參數規模
236.0B
上下文長度
262K
支援模態
image, text, video

能力雷達圖

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

排行榜排名

領域#排名分數來源
智慧體能力模型榜60
50.0
LS
程式碼能力榜302
38.0
AA
通用能力榜302
43.0
AA
多模態榜15
63.0
LS
科學能力280
47.0
AA

基準測試分數 (LLM Stats)

(LLM Stats (zeroeval))

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
IFEvalGoogle Research (2023)87.8%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

(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 分類評分

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

定價

輸入價格$0.7 / 1M tokens
輸出價格$2.8 / 1M tokens
混合價格(3:1)$1.225 / 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

7 個供應商

最便宜: LLM Gateway最貴: Alibaba
供應商輸入輸出
1LLM Gateway最便宜
$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
7Alibaba主要
$0.7
$2.8

比較該模型在不同 API 供應商之間的定價。

外部連結