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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

29
general
44
coding
72
reasoning
43
science
70
agents
100
multimodal

Рейтинги

Оценки бенчмарков (LLM Stats)

(LLM Stats (zeroeval))

3d

BLINK67.7%Сам.

Agents

BFCL-v366.3%Сам.
OSWorld30.3%Сам.

Biology

GPQANYU + Cohere + Anthropic (2023)70.4%Сам.

Chemistry

SuperGPQA53.1%Сам.

Communication

MM-MT-Bench8.10 / 100Сам.
WritingBench82.6%Сам.
Multi-IF66.1%Сам.

Creativity

Creative Writing v384.6%Сам.
Arena-Hard v258.5%Сам.

Factuality

SimpleQA27.0%Сам.

Finance

MMLU85.0%Сам.
MMLU-Pro77.8%Сам.
MMLU-ProX70.9%Сам.

General

MMLU-Redux88.4%Сам.
IFEvalGoogle Research (2023)85.8%Сам.
MLVU-M81.3%Сам.
MMMU (val)74.2%Сам.
MMStar72.1%Сам.
Include71.6%Сам.
LiveBench 2024112565.4%Сам.
MMMU-Pro60.4%Сам.
LiveCodeBench v642.6%Сам.

Grounding

ScreenSpot94.7%Сам.
ScreenSpot Pro60.5%Сам.

Healthcare

VideoMMMU68.7%Сам.

Image To Text

OCRBench90.3%Сам.
OCRBench-V2 (en)63.2%Сам.
OCRBench-V2 (zh)57.8%Сам.

Language

CharadesSTA63.5%Сам.

Long Context

LVBench62.5%Сам.

Math

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

Multimodal

DocVQAtest95.0%Сам.
MMBench-V1.187.0%Сам.
CharXiv-D85.5%Сам.
AI2D85.0%Сам.
InfoVQAtest82.0%Сам.
CC-OCR80.7%Сам.
Video-MME74.5%Сам.
MVBench72.3%Сам.
MuirBench62.9%Сам.
CharXiv-R48.9%Сам.

Reasoning

Hallusion Bench61.5%Сам.
ERQA43.0%Сам.

Spatial Reasoning

RealWorldQA73.7%Сам.

Vision

ODinW47.5%Сам.

Индексы оценки AA

(Artificial Analysis)
Math Index(Artificial Analysis)
72.3
Intelligence Index(Artificial Analysis)
9.9
Mmlu Pro(TIGER-Lab (Univ. of Waterloo, Toronto, CMU, 2024))
0.8
Aime 25(MAA (Mathematical Association of America))
0.7
Gpqa(NYU + Cohere + Anthropic (2023))
0.7
Livecodebench(UC Berkeley + MIT + Cornell (2024))
0.5
Ifbench(Google Research (2023))
0.3
Scicode(UIUC + Argonne National Lab (2024))
0.3
Lcr(Artificial Analysis)
0.3
Tau2(Sierra + U Toronto + Vector Institute (2025))
0.2
Hle(Center for AI Safety + Scale AI (2025))
0.1
Terminalbench Hard(Stanford × Laude Institute (2026))
0.1

Оценки категорий LLM Stats

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

5 провайдеров

Самый дешевый: Kilo GatewayСамый дорогой: NovitaAI
ПровайдерВводВывод
1Kilo GatewayСамый дешевый
$0.13
$0.52
2OpenRouter
$0.15
$0.6
3LLM Gateway
$0.15
$0.6
4AlibabaОсновной
$0.2
$0.8
5NovitaAI
$0.2
$0.7

Сравнение цен разных API-провайдеров для этой модели.

Внешние ссылки