Qwen3.7 Plus

AlibabaQwenProprietary

Descripción

Qwen3.7-Plus is Alibaba Cloud Qwen Team's multimodal agent model that unifies vision and language into a single agent foundation. Built on the Qwen3.7 text backbone, it operates as a multimodal interactive hybrid agent—perceiving real-world scenes, reading screens and operating GUIs, writing code from visual references, navigating mobile apps end-to-end, and answering search-augmented visual questions—while blending GUI and CLI interactions within a single agent loop. It is a versatile coding agent and productivity assistant with full-modality input, generalizing across scaffolds such as Claude Code, OpenClaw, and Qwen Code. Features a 1 million token context window, up to 65,536 output tokens, always-on thinking, and a preserve_thinking mode for agentic tasks. Available via Alibaba Cloud Model Studio (DashScope).

Fecha de lanzamiento

2026-06-01

Parámetros

—

Longitud del contexto

1.0M

Modalidades

image, text, video

Radar de capacidades

general

coding

reasoning

science

agents

multimodal

Rankings

Dominio	#Posición	Puntuación	Fuente
Capacidad agéntica	31	53.0	LS
Ranking de codificación	101	74.0	AA
Ranking general	67	78.0	AA
Ranking multimodal	2	75.0	LS
Ciencia	71	78.0	AA

Puntuaciones de benchmarks (LLM Stats)

(LLM Stats (zeroeval))

Agents

SpreadSheetBench-v1

86.3%Aut.

AndroidWorld

81.0%Aut.

CoWorkBench

65.1%Aut.

DeepPlanning

62.3%Aut.

QwenWorldBench

62.1%Aut.

QwenClawBench

61.8%Aut.

MCP-Mark

58.7%Aut.

ClawEval-MM

55.7%Aut.

VITA-Bench

45.6%Aut.

Finance Agent v2

38.2%

Chat

IFEvalGoogle Research (2023)

94.6%Aut.

Code

Claw-Eval

62.7%Aut.

SkillsBench

54.9%Aut.

NL2Repo

41.1%Aut.

General

MAXIFE

88.8%Aut.

Include

83.0%Aut.

NOVA-63

58.8%Aut.

Instruction Following

IFBench

79.1%Aut.

Language

MMLU-Redux

94.5%Aut.

MMMLU

89.0%Aut.

MMLU-Pro

88.5%Aut.

MMLU-ProX

85.4%Aut.

WMT24++

84.6%Aut.

Long Context

MRCR v2

91.7%Aut.

Math

HMMT Feb 26

92.9%Aut.

MathVision

90.3%Aut.

IMO-AnswerBench

86.0%Aut.

PolyMATH

84.0%Aut.

Multimodal

Video-MME

88.0%Aut.

VideoMMMU

85.4%Aut.

OSWorld-Verified

73.3%Aut.

MMSearch-Plus

41.4%Aut.

Reasoning

Global PIQA

90.3%Aut.

GPQANYU + Cohere + Anthropic (2023)

90.3%Aut.

LiveCodeBench v6

89.6%Aut.

CharXiv-R

85.9%Aut.

SWE-Bench Verified

77.7%Aut.

SWE-bench Multilingual

75.8%Aut.

MCP Atlas

73.2%Aut.

SuperGPQA

71.4%Aut.

Terminal-Bench 2.0Stanford × Laude Institute (2026)

70.3%Aut.

SWE-Bench ProPrinceton NLP (2024)

57.6%Aut.

SciCode

51.3%Aut.

Humanity's Last Exam

34.7%Aut.

Apex

22.7%Aut.

FrontierCode 1.1

10.2%

CritPT

6.0%Aut.

Tool Calling

BFCL-V4

72.9%Aut.

Video

MLVU

87.4%Aut.

Vision

OmniDocBench 1.5

91.4%Aut.

RealWorldQA

86.9%Aut.

HiPhO

84.1%Aut.

LingoQA

83.4%Aut.

SimpleVQA

0.82 / 100Aut.

ScreenSpot Pro

79.0%Aut.

MMMU-Pro

79.0%Aut.

TVBench

78.2%Aut.

VLADBench

77.2%Aut.

SURDS

77.2%Aut.

CountQA

77.0%Aut.

LVBench

76.2%Aut.

MedXpertQA-MM

71.0%Aut.

BabyVision

70.4%Aut.

ERQA

69.8%Aut.

OCRBench_V2

67.1%Aut.

WorldVQA

61.1%Aut.

ODinW

51.1%Aut.

BC-VL

51.1%Aut.

MMBC

46.3%Aut.

VisFactor

42.8%Aut.

Índices de evaluación AA

(Artificial Analysis)

Tau2(Sierra + U Toronto + Vector Institute (2025))

93.0

Gpqa(NYU + Cohere + Anthropic (2023))

90.0

Ifbench(Google Research (2023))

78.0

Lcr(Artificial Analysis)

69.0

Terminalbench V2 1

61.0

Coding Index(Artificial Analysis)

55.9

Terminalbench Hard(Stanford × Laude Institute (2026))

47.0

Scicode(UIUC + Argonne National Lab (2024))

45.5

Intelligence Index(Artificial Analysis)

39.4

Hle(Center for AI Safety + Scale AI (2025))

35.6

Tau Banking

17.5

Puntuaciones por categoría LLM Stats

(LLM Stats (zeroeval))

Chat

Language

Long Context

Structured Output

Instruction Following

Video

Legal

Multimodal

Physics

Productivity

Spatial Reasoning

Frontend Development

Grounding

Healthcare

Math

Reasoning

Image To Text

Finance

General

Biology

Chemistry

Economics

Tool Calling

Vision

Agents

Code

Precios

Precio de entrada$0.4 / 1M tokens

Precio de salida$1.6 / 1M tokens

Precio mixto (3:1)$0.7 / 1M tokens

Precio de lectura caché$0.05 / 1M tokens

Precio de escritura caché$0.625 / 1M tokens

Velocidad

Tokens/seg56.3

Retraso del primer token1.42s

Tiempo hasta la respuesta36.96s

Ranking de Precios por Proveedor

19 proveedores

Más barato: AIHubMixMás caro: Charm Hyper

ProveedorEntradaSalida

1AIHubMixMás barato

$0.282

$1.128

2OpenRouter

$0.32

$1.28

3Kilo Gateway

$0.32

$1.28

4Requesty

$0.32

$1.28

5CrossModel

$0.32

$1.25

6Pioneer

$0.32

$1.28

7OrcaRouter

$0.35

$1.42

8AlibabaPRINCIPAL

$0.4

$1.6

9NanoGPT

$0.4

$1.6

10OpenCode Go

$0.4

$1.6

11ZenMux

$0.4

$1.6

12DevPass (LLM Gateway)

$0.4

$1.6

13Merge Gateway

$0.4

$1.6

14LLMTR

$0.4

$1.6

15EmpirioLabs AI

$0.4

$1.6

16Impossibl

$0.4

$1.6

17Alibaba (China)

$0.5

18Modelis

$0.768

$3.072

19Charm Hyper

$1.2

$4.8

Comparar precios entre diferentes proveedores de API para este modelo.

Fuentes externas

LLM Stats Artificial Analysis