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Qwen3 VL 235B A22B Instruct

AlibabaQwen开源权重Apache 2.0 · 商用许可

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.

发布日期
2025-09-23
参数规模
236.0B
上下文长度
262K
支持模态
image, text, video

能力雷达图

31
general
59
coding
71
reasoning
51
science
70
agents
90
multimodal

排行榜排名

领域#排名分数来源
代码能力榜375
37.0
AA
通用能力榜347
39.0
AA
多模态榜48
58.0
LS
科学能力368
40.0
AA

基准测试分数 (LLM Stats)

(LLM Stats (zeroeval))

Chat

MM-MT-Bench8.50 / 100自报
IFEvalGoogle Research (2023)87.8%自报
Multi-IF76.3%自报

Creativity

Creative Writing v386.5%自报

Factuality

SimpleQA51.9%自报

General

MMLU88.8%自报
MultiPL-E86.1%自报
CSimpleQA83.4%自报
Include80.0%自报
Arena-Hard v277.4%自报
BFCL-v367.7%自报
AndroidWorld_SR63.7%自报

Language

MMLU-Redux92.2%自报
MMLU-Pro81.8%自报
MMLU-ProX77.8%自报

Math

MathVista-Mini84.9%自报
LiveBench 2024112574.8%自报
AIME 202574.7%自报
MathVision66.5%自报
HMMT2557.4%自报

Multimodal

VideoMME w/o sub.79.2%自报
VideoMMMU74.7%自报
OSWorld66.7%自报

Reasoning

CharXiv-R62.1%自报
LiveCodeBench v561.4%自报
SuperGPQA60.4%自报
LiveCodeBench v654.3%自报

Video

MLVU84.3%自报
CharadesSTA64.8%自报

Vision

DocVQAtest97.1%自报
ScreenSpot95.4%自报
OCRBench92.0%自报
MMBench-V1.189.9%自报
AI2D89.7%自报
InfoVQAtest89.2%自报
CC-OCR82.2%自报
RealWorldQA79.3%自报
MMMUval78.7%自报
MMStar78.4%自报
MuirBench72.8%自报
BLINK70.7%自报
MMMU-Pro68.1%自报
LVBench67.7%自报
OCRBench-V2 (en)67.1%自报
Hallusion Bench63.2%自报
ScreenSpot Pro62.0%自报
OCRBench-V2 (zh)61.8%自报
ERQA51.3%自报
ODinW48.6%自报

Writing

WritingBench85.5%自报

AA 评测指数

(Artificial Analysis)
Mmlu Pro(TIGER-Lab (Univ. of Waterloo, Toronto, CMU, 2024))
82.3
Gpqa(NYU + Cohere + Anthropic (2023))
71.2
Math Index(Artificial Analysis)
70.7
Aime 25(MAA (Mathematical Association of America))
70.7
Livecodebench(UC Berkeley + MIT + Cornell (2024))
59.4
Ifbench(Google Research (2023))
42.7
Tau2(Sierra + U Toronto + Vector Institute (2025))
35.1
Lcr(Artificial Analysis)
32.7
Intelligence Index(Artificial Analysis)
9.9
Terminalbench Hard(Stanford × Laude Institute (2026))
6.8
Hle(Center for AI Safety + Scale AI (2025))
6.6

LLM Stats 分类评分

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

定价

输入价格$0.4 / 1M tokens
输出价格$1.6 / 1M tokens
混合价格(3:1)$0.7 / 1M tokens
缓存读取价格$0.1 / 1M tokens

速度

Tokens/秒0.0
首Token延迟0.00s
首回答延迟0.00s

供应商价格排行

供应商价格排行

11 个供应商

最便宜: DeepInfra最贵: Eden AI
供应商输入输出
1DeepInfra最便宜
$0
$0
2DevPass (LLM Gateway)
$0.2
$0.88
3OpenRouter
$0.21
$1.9
4Kilo Gateway
$0.26
$1.04
5Merge Gateway
$0.287
$1.147
6NanoGPT
$0.3
$1.9
7NovitaAI
$0.3
$1.5
8Helicone
$0.3
$1.5
9Alibaba主要
$0.4
$1.6
10OrcaRouter
$0.4
$1.6
11Eden AI
$0.4
$1.6

比较该模型在不同 API 供应商之间的定价。

外部链接