Qwen3.7 Max

AlibabaQwenProprietary

描述

Qwen3.7 Max is Alibaba Cloud Qwen Team's proprietary flagship model for agent-driven workflows. It is designed for coding agents, office automation, MCP and multi-agent orchestration, and long-horizon autonomous execution, with a 1 million token context window and up to 65,536 output tokens. Qwen reports strong agentic coding results including 69.7 on Terminal-Bench 2.0-Terminus, 80.4 on SWE-bench Verified, 60.6 on SWE-Pro, and 78.3 on SWE-Multilingual, alongside 92.4 on GPQA Diamond and 97.1 on HMMT 2026 Feb.

發布日期

2026-05-19

參數規模

—

上下文長度

1.0M

支援模態

text

能力雷達圖

general

coding

reasoning

science

agents

multimodal

排行榜排名

領域	#排名	分數	來源
智慧體能力模型榜	7	65.0	LS
程式碼能力榜	55	84.0	AA
通用能力榜	31	85.0	AA
數學推理	30	85.0	LB
推理能力	26	83.0	LB
科學能力	48	83.0	AA

基準測試分數 (LLM Stats)

(LLM Stats (zeroeval))

Agents

QwenSVG

1608.00 / 2000自報

Kernel Bench L3

96.0%自報

SpreadSheetBench-v1

87.0%自報

CoWorkBench

67.2%自報

MCP-Mark

60.8%自報

QwenWorldBench

57.3%自報

Finance Agent v2

48.4%

VITA-Bench

47.9%自報

Chat

IFEvalGoogle Research (2023)

94.3%自報

Code

QwenWebBench

1568.00 / 2000自報

Claw-Eval

65.2%自報

ZClawBench

64.3%自報

SkillsBench

59.2%自報

NL2Repo

47.2%自報

General

MAXIFE

89.2%自報

Include

86.2%自報

NOVA-63

59.0%自報

Instruction Following

IFBench

79.1%自報

Language

MMLU-Redux

95.0%自報

MMMLU

90.3%自報

MMLU-Pro

89.6%自報

MMLU-ProX

87.0%自報

WMT24++

85.8%自報

Long Context

MRCR 128K (8-needle)

90.4%自報

Math

HMMT Feb 26

97.1%自報

IMO-AnswerBench

90.0%自報

PolyMATH

86.5%自報

LiveBench

74.3%

MathArena Apex

44.5%自報

Reasoning

GPQANYU + Cohere + Anthropic (2023)

92.4%自報

LiveCodeBench v6

91.6%自報

Global PIQA

91.4%自報

SWE-Bench Verified

80.4%自報

SWE-bench Multilingual

78.3%自報

MCP Atlas

76.4%自報

SuperGPQA

73.6%自報

Terminal-Bench 2.0Stanford × Laude Institute (2026)

69.7%自報

SWE-Bench ProPrinceton NLP (2024)

60.6%自報

SciCode

53.5%自報

Humanity's Last Exam

41.4%自報

CritPT

11.4%自報

Tool Calling

BFCL-V4

75.0%自報

AA 評測指數

(Artificial Analysis)

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

94.7

Gpqa(NYU + Cohere + Anthropic (2023))

92.3

Ifbench(Google Research (2023))

80.5

Lcr(Artificial Analysis)

74.7

Terminalbench V2 1

74.5

Coding Index(Artificial Analysis)

66.0

Terminalbench Hard(Stanford × Laude Institute (2026))

50.8

Scicode(UIUC + Argonne National Lab (2024))

48.8

Intelligence Index(Artificial Analysis)

46.7

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

40.5

Tau Banking

11.8

LLM Stats 分類評分

(LLM Stats (zeroeval))

Chat

Language

Multimodal

Spatial Reasoning

Structured Output

Instruction Following

Legal

Physics

Productivity

Frontend Development

Healthcare

Math

Reasoning

Finance

General

Biology

Chemistry

Code

Economics

Tool Calling

Agents

Vision

定價

輸入價格$2.5 / 1M tokens

輸出價格$7.5 / 1M tokens

混合價格(3:1)$3.75 / 1M tokens

快取讀取價格$0.5 / 1M tokens

快取寫入價格$3.125 / 1M tokens

速度

Tokens/秒0.0

首Token延遲0.00s

首回答延遲0.00s

供應商價格排行

24 個供應商

最便宜: Novita最貴: Modelis

供應商輸入輸出

1Novita最便宜

2Together

$0.00001

3Merge Gateway

$0.825

$2.4755

4NovitaAI

$1.25

$3.75

5Kilo Gateway

$1.25

$3.75

6DevPass (LLM Gateway)

$1.25

$3.75

7OrcaRouter

$1.25

$3.75

8Pioneer

$1.25

$3.75

9OpenRouter

$1.475

$4.425

10CrossModel

$1.504

$4.504

11AIHubMix

$1.69

$5.07

12Alibaba主要

$2.5

$7.5

13NanoGPT

$2.5

$7.5

14Abacus

$2.5

$7.5

15OpenCode Go

$2.5

$7.5

16Alibaba (China)

$2.5

$7.5

17ZenMux

$2.5

$7.5

18Alibaba Coding Plan

$2.5

$7.5

19Requesty

$2.5

$7.5

20Alibaba Coding Plan (China)

$2.5

$7.5

21EmpirioLabs AI

$2.5

$7.5

22Charm Hyper

$2.5

$7.5

23Impossibl

$2.5

$7.5

24Modelis

比較該模型在不同 API 供應商之間的定價。

外部連結

LLM Stats Artificial Analysis