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Qwen3 VL 30B A3B Instruct

AlibabaQwenОткрытые весаApache 2.0 · Коммерческое использование

Описание

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.

Дата выхода
2025-10-03
Параметры
31.0B
Длина контекста
262K
Модальности
image, text, video

Радар способностей

28
general
48
coding
72
reasoning
50
science
70
agents
100
multimodal

Рейтинги

Домен#МестоОценкаИсточник
Рейтинг кодинга420
31.0
AA
Общий рейтинг458
30.0
AA
Мультимодальный рейтинг119
38.0
LS
Наука378
39.0
AA

Оценки бенчмарков (LLM Stats)

(LLM Stats (zeroeval))

Chat

MM-MT-Bench8.10 / 100Сам.
IFEvalGoogle Research (2023)85.8%Сам.
Multi-IF66.1%Сам.

Creativity

Creative Writing v384.6%Сам.

Factuality

SimpleQA27.0%Сам.

General

MMLU85.0%Сам.
MLVU-M81.3%Сам.
Include71.6%Сам.
BFCL-v366.3%Сам.
Arena-Hard v258.5%Сам.

Language

MMLU-Redux88.4%Сам.
MMLU-Pro77.8%Сам.
MMLU-ProX70.9%Сам.

Math

MathVista-Mini80.1%Сам.
AIME 202569.3%Сам.
LiveBench 2024112565.4%Сам.
MathVision60.2%Сам.
HMMT2550.6%Сам.
PolyMATH44.3%Сам.

Multimodal

Video-MME74.5%Сам.
VideoMMMU68.7%Сам.
OSWorld30.3%Сам.

Reasoning

CharXiv-D85.5%Сам.
GPQANYU + Cohere + Anthropic (2023)70.4%Сам.
SuperGPQA53.1%Сам.
CharXiv-R48.9%Сам.
LiveCodeBench v642.6%Сам.

Video

CharadesSTA63.5%Сам.

Vision

DocVQAtest95.0%Сам.
ScreenSpot94.7%Сам.
OCRBench90.3%Сам.
MMBench-V1.187.0%Сам.
AI2D85.0%Сам.
InfoVQAtest82.0%Сам.
CC-OCR80.7%Сам.
MMMU (val)74.2%Сам.
RealWorldQA73.7%Сам.
MVBench72.3%Сам.
MMStar72.1%Сам.
BLINK67.7%Сам.
OCRBench-V2 (en)63.2%Сам.
MuirBench62.9%Сам.
LVBench62.5%Сам.
Hallusion Bench61.5%Сам.
ScreenSpot Pro60.5%Сам.
MMMU-Pro60.4%Сам.
OCRBench-V2 (zh)57.8%Сам.
ODinW47.5%Сам.
ERQA43.0%Сам.

Writing

WritingBench82.6%Сам.

Индексы оценки AA

(Artificial Analysis)
Mmlu Pro(TIGER-Lab (Univ. of Waterloo, Toronto, CMU, 2024))
76.4
Aime 25(MAA (Mathematical Association of America))
72.3
Math Index(Artificial Analysis)
72.3
Gpqa(NYU + Cohere + Anthropic (2023))
69.5
Livecodebench(UC Berkeley + MIT + Cornell (2024))
47.6
Ifbench(Google Research (2023))
33.1
Tau2(Sierra + U Toronto + Vector Institute (2025))
19.0
Intelligence Index(Artificial Analysis)
7.9
Hle(Center for AI Safety + Scale AI (2025))
6.3
Terminalbench Hard(Stanford × Laude Institute (2026))
6.1

Оценки категорий LLM Stats

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

Цены

Цена ввода$0.2 / 1M токенов
Цена вывода$0.8 / 1M токенов
Смешанная цена (3:1)$0.35 / 1M токенов

Скорость

Токенов/сек0.0
Задержка первого токена0.00s
Время до первого ответа0.00s

Рейтинг цен провайдеров

Рейтинг цен провайдеров

6 провайдеров

Самый дешевый: DeepInfraСамый дорогой: NovitaAI
ПровайдерВводВывод
1DeepInfraСамый дешевый
$0
$0
2Kilo Gateway
$0.13
$0.52
3OpenRouter
$0.15
$0.6
4DevPass (LLM Gateway)
$0.15
$0.6
5AlibabaОсновной
$0.2
$0.8
6NovitaAI
$0.2
$0.7

Сравнение цен разных API-провайдеров для этой модели.

Внешние ссылки