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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

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

排行榜排名

領域#排名分數來源
程式碼能力榜382
37.0
AA
通用能力榜351
39.0
AA
多模態榜47
58.0
LS
科學能力374
40.0
AA

基準測試分數 (LLM Stats)

(LLM Stats (zeroeval))

Chat

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

Creativity

Creative Writing v386.5%自報

Factuality

SimpleQA51.9%自報

General

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

Language

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

Math

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

Multimodal

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

Reasoning

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

Video

MLVU84.3%自報
CharadesSTA64.8%自報

Vision

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

Writing

WritingBench85.5%自報

AA 評測指數

(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 分類評分

(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

定價

輸入價格$0.4 / 1M tokens
輸出價格$1.6 / 1M tokens
混合價格(3:1)$0.7 / 1M tokens
快取讀取價格$0.1 / 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

11 個供應商

最便宜: DeepInfra最貴: Eden AI
供應商輸入輸出
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

比較該模型在不同 API 供應商之間的定價。

外部連結