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Qwen3 VL 8B (Reasoning)

AlibabaQwenOpen WeightApache 2.0 · Uso Comercial

Descripción

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.

Fecha de lanzamiento
2025-10-14
Parámetros
9.0B
Longitud del contexto
131K
Modalidades
image, text

Radar de capacidades

28
general
35
coding
35
reasoning
41
science
60
agents
100
multimodal

Rankings

Dominio#PosiciónPuntuaciónFuente
Ranking de codificación453
27.0
AA
Ranking general422
33.0
AA
Ranking multimodal130
34.0
LS
Ciencia473
30.0
AA

Puntuaciones de benchmarks (LLM Stats)

(LLM Stats (zeroeval))

Chat

MM-MT-Bench8.00 / 100Aut.
IFEvalGoogle Research (2023)83.2%Aut.
Multi-IF75.1%Aut.

Creativity

Creative Writing v382.4%Aut.

Factuality

SimpleQA49.6%Aut.

General

MMLU85.2%Aut.
MLVU-M75.1%Aut.
Include69.5%Aut.
BFCL-v363.0%Aut.
Arena-Hard v251.1%Aut.

Language

MMLU-Redux88.8%Aut.
MMLU-Pro77.3%Aut.
MMLU-ProX70.7%Aut.

Math

MathVista-Mini81.4%Aut.
AIME 202580.3%Aut.
LiveBench 2024112569.8%Aut.
MathVision62.7%Aut.
HMMT2560.6%Aut.
PolyMATH47.5%Aut.

Multimodal

VideoMMMU72.8%Aut.
Video-MME71.8%Aut.
OSWorld33.9%Aut.

Reasoning

CharXiv-D85.9%Aut.
GPQANYU + Cohere + Anthropic (2023)69.9%Aut.
LiveCodeBench v658.6%Aut.
CharXiv-R53.0%Aut.
SuperGPQA51.2%Aut.

Video

CharadesSTA59.9%Aut.

Vision

DocVQAtest95.3%Aut.
ScreenSpot93.6%Aut.
MMBench-V1.187.5%Aut.
InfoVQAtest86.0%Aut.
AI2D84.9%Aut.
OCRBench81.9%Aut.
MuirBench76.8%Aut.
CC-OCR76.3%Aut.
MMStar75.3%Aut.
MMMU (val)74.1%Aut.
RealWorldQA73.5%Aut.
MVBench69.0%Aut.
BLINK68.7%Aut.
Hallusion Bench65.4%Aut.
OCRBench-V2 (en)63.9%Aut.
MMMU-Pro60.4%Aut.
OCRBench-V2 (zh)59.2%Aut.
LVBench55.8%Aut.
ERQA46.8%Aut.
ScreenSpot Pro46.6%Aut.
ODinW39.8%Aut.

Writing

WritingBench85.5%Aut.

Índices de evaluación AA

(Artificial Analysis)
Mmlu Pro(TIGER-Lab (Univ. of Waterloo, Toronto, CMU, 2024))
74.9
Gpqa(NYU + Cohere + Anthropic (2023))
57.9
Ifbench(Google Research (2023))
39.9
Livecodebench(UC Berkeley + MIT + Cornell (2024))
35.3
Lcr(Artificial Analysis)
33.3
Math Index(Artificial Analysis)
30.7
Aime 25(MAA (Mathematical Association of America))
30.7
Tau2(Sierra + U Toronto + Vector Institute (2025))
22.5
Intelligence Index(Artificial Analysis)
8.2
Hle(Center for AI Safety + Scale AI (2025))
3.8
Terminalbench Hard(Stanford × Laude Institute (2026))
3.8

Puntuaciones por categoría LLM Stats

(LLM Stats (zeroeval))
Chat
3
Communication
3
Multimodal
100
Instruction Following
80
Language
80
Structured Output
80
General
80
Text-to-image
80
Image To Text
70
Legal
70
Math
70
Reasoning
70
Finance
70
Grounding
70
Healthcare
70
3d
70
Biology
70
Creativity
70
Vision
70
Writing
70
Long Context
60
Physics
60
Spatial Reasoning
60
Chemistry
60
Tool Calling
60
Video
60
Factuality
50
Agents
50
Economics
50

Precios

Precio de entrada$0.18 / 1M tokens
Precio de salida$2.1 / 1M tokens
Precio mixto (3:1)$0.66 / 1M tokens

Velocidad

Tokens/seg0.0
Retraso del primer token0.00s
Tiempo hasta la respuesta0.00s

Ranking de Precios por Proveedor

Ranking de Precios por Proveedor

3 proveedores

Más barato: AlibabaMás caro: Kilo Gateway
ProveedorEntradaSalida
1AlibabaPRINCIPAL
$0.18
$2.1
2OpenRouter
$0.18
$2.1
3Kilo Gateway
$0.18
$2.1

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Fuentes externas