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Qwen3.7 Plus

AlibabaQwenProprietary

描述

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).

發布日期
2026-06-01
參數規模
上下文長度
1.0M
支援模態
image, text, video

能力雷達圖

39
general
54
coding
90
reasoning
64
science
70
agents
90
multimodal

排行榜排名

領域#排名分數來源
智慧體能力模型榜30
53.0
LS
程式碼能力榜101
74.0
AA
通用能力榜67
78.0
AA
多模態榜2
75.0
LS
科學能力71
78.0
AA

基準測試分數 (LLM Stats)

(LLM Stats (zeroeval))

Agents

SpreadSheetBench-v186.3%自報
AndroidWorld81.0%自報
CoWorkBench65.1%自報
DeepPlanning62.3%自報
QwenWorldBench62.1%自報
QwenClawBench61.8%自報
MCP-Mark58.7%自報
ClawEval-MM55.7%自報
VITA-Bench45.6%自報
Finance Agent v238.2%

Chat

IFEvalGoogle Research (2023)94.6%自報

Code

Claw-Eval62.7%自報
SkillsBench54.9%自報
NL2Repo41.1%自報

General

MAXIFE88.8%自報
Include83.0%自報
NOVA-6358.8%自報

Instruction Following

IFBench79.1%自報

Language

MMLU-Redux94.5%自報
MMMLU89.0%自報
MMLU-Pro88.5%自報
MMLU-ProX85.4%自報
WMT24++84.6%自報

Long Context

MRCR v291.7%自報

Math

HMMT Feb 2692.9%自報
MathVision90.3%自報
IMO-AnswerBench86.0%自報
PolyMATH84.0%自報

Multimodal

Video-MME88.0%自報
VideoMMMU85.4%自報
OSWorld-Verified73.3%自報
MMSearch-Plus41.4%自報

Reasoning

Global PIQA90.3%自報
GPQANYU + Cohere + Anthropic (2023)90.3%自報
LiveCodeBench v689.6%自報
CharXiv-R85.9%自報
SWE-Bench Verified77.7%自報
SWE-bench Multilingual75.8%自報
MCP Atlas73.2%自報
SuperGPQA71.4%自報
Terminal-Bench 2.0Stanford × Laude Institute (2026)70.3%自報
SWE-Bench ProPrinceton NLP (2024)57.6%自報
SciCode51.3%自報
Humanity's Last Exam34.7%自報
Apex22.7%自報
FrontierCode 1.110.2%
CritPT6.0%自報

Tool Calling

BFCL-V472.9%自報

Video

MLVU87.4%自報

Vision

OmniDocBench 1.591.4%自報
RealWorldQA86.9%自報
HiPhO84.1%自報
LingoQA83.4%自報
SimpleVQA0.82 / 100自報
ScreenSpot Pro79.0%自報
MMMU-Pro79.0%自報
TVBench78.2%自報
VLADBench77.2%自報
SURDS77.2%自報
CountQA77.0%自報
LVBench76.2%自報
MedXpertQA-MM71.0%自報
BabyVision70.4%自報
ERQA69.8%自報
OCRBench_V267.1%自報
WorldVQA61.1%自報
ODinW51.1%自報
BC-VL51.1%自報
MMBC46.3%自報
VisFactor42.8%自報

AA 評測指數

(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

LLM Stats 分類評分

(LLM Stats (zeroeval))
Chat
90
Instruction Following
90
Language
90
Long Context
90
Structured Output
90
Video
90
Legal
80
Multimodal
80
Physics
80
Productivity
80
Spatial Reasoning
80
Frontend Development
80
Grounding
80
Healthcare
80
Image To Text
70
Math
70
Reasoning
70
Finance
70
General
70
Biology
70
Chemistry
70
Economics
70
Tool Calling
70
Vision
70
Agents
60
Code
60

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$0.05 / 1M tokens
快取寫入價格$0.625 / 1M tokens

速度

Tokens/秒56.3
首Token延遲1.42s
首回答延遲36.96s

供應商價格排行

供應商價格排行

19 個供應商

最便宜: AIHubMix最貴: Charm Hyper
供應商輸入輸出
1AIHubMix最便宜
$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
8Alibaba主要
$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
$3
18Modelis
$0.768
$3.072
19Charm Hyper
$1.2
$4.8

比較該模型在不同 API 供應商之間的定價。

外部連結