Qwen3.7 Max
AlibabaQwenProprietary
विवरण
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.
रिलीज़ तिथि
2026-05-19
पैरामीटर
—
संदर्भ लंबाई
1.0M
मोडैलिटीज़
text
क्षमता रडार
45
general
63
coding
92
reasoning
67
science
70
agents
0
multimodal
रैंकिंग
| डोमेन | #रैंक | स्कोर | स्रोत |
|---|---|---|---|
| एजेंटिक क्षमता | 5 | 66.0 | LS |
| कोडिंग रैंकिंग | 55 | 84.0 | AA |
| सामान्य रैंकिंग | 31 | 85.0 | AA |
| गणितीय तर्क | 30 | 85.0 | LB |
| तर्क | 26 | 83.0 | LB |
| विज्ञान | 48 | 83.0 | AA |
बेंचमार्क स्कोर (LLM Stats)
(LLM Stats (zeroeval))Agents
QwenSVG
1608.00 / 2000स्वयं
Kernel Bench L3
96.0%स्वयं
SpreadSheetBench-v1
87.0%स्वयं
CoWorkBench
67.2%स्वयं
MCP-Mark
60.8%स्वयं
QwenWorldBench
57.3%स्वयं
Finance Agent v2
48.4%
VITA-Bench
47.9%स्वयं
Chat
IFEvalGoogle Research (2023)
94.3%स्वयं
Code
QwenWebBench
1568.00 / 2000स्वयं
Claw-Eval
65.2%स्वयं
ZClawBench
64.3%स्वयं
SkillsBench
59.2%स्वयं
NL2Repo
47.2%स्वयं
General
MAXIFE
89.2%स्वयं
Include
86.2%स्वयं
NOVA-63
59.0%स्वयं
Instruction Following
IFBench
79.1%स्वयं
Language
MMLU-Redux
95.0%स्वयं
MMMLU
90.3%स्वयं
MMLU-Pro
89.6%स्वयं
MMLU-ProX
87.0%स्वयं
WMT24++
85.8%स्वयं
Long Context
MRCR 128K (8-needle)
90.4%स्वयं
Math
HMMT Feb 26
97.1%स्वयं
IMO-AnswerBench
90.0%स्वयं
PolyMATH
86.5%स्वयं
LiveBench
74.3%
MathArena Apex
44.5%स्वयं
Reasoning
GPQANYU + Cohere + Anthropic (2023)
92.4%स्वयं
LiveCodeBench v6
91.6%स्वयं
Global PIQA
91.4%स्वयं
SWE-Bench Verified
80.4%स्वयं
SWE-bench Multilingual
78.3%स्वयं
MCP Atlas
76.4%स्वयं
SuperGPQA
73.6%स्वयं
Terminal-Bench 2.0Stanford × Laude Institute (2026)
69.7%स्वयं
SWE-Bench ProPrinceton NLP (2024)
60.6%स्वयं
SciCode
53.5%स्वयं
Humanity's Last Exam
41.4%स्वयं
CritPT
11.4%स्वयं
Tool Calling
BFCL-V4
75.0%स्वयं
AA मूल्यांकन सूचकांक
(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 174.5
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 Banking11.8
LLM Stats श्रेणी स्कोर
(LLM Stats (zeroeval))Chat90
Language90
Multimodal90
Spatial Reasoning90
Structured Output90
Instruction Following90
Legal80
Physics80
Productivity80
Frontend Development80
Healthcare80
Math70
Reasoning70
Finance70
General70
Biology70
Chemistry70
Code70
Economics70
Tool Calling70
Agents60
Vision60
मूल्य निर्धारण
इनपुट मूल्य$2.5 / 1M टोकन
आउटपुट मूल्य$7.5 / 1M टोकन
मिश्रित मूल्य (3:1)$3.75 / 1M टोकन
कैश पठन मूल्य$0.5 / 1M टोकन
कैश लेखन मूल्य$3.125 / 1M टोकन
गति
टोकन/सेकंड0.0
पहले टोकन में देरी0.00s
पहले उत्तर में देरी0.00s
प्रदाता मूल्य रैंकिंग
प्रदाता मूल्य रैंकिंग
24 प्रदाता
सबसे सस्ता: Novitaसबसे महंगा: Modelis
प्रदाताइनपुटआउटपुट
1Novitaसबसे सस्ता
$0
$0
2Together
$0
$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
12Alibabaप्राथमिक
$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
$3
$9
इस मॉडल के लिए विभिन्न API प्रदाताओं के मूल्य निर्धारण की तुलना करें।