Qwen3.7 Max
AlibabaQwenProprietary
Description
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.
Date de sortie
2026-05-19
Paramètres
—
Longueur du contexte
1.0M
Modalités
text
Radar de capacités
32
general
63
coding
92
reasoning
67
science
70
agents
0
multimodal
Classements
| Domaine | #Rang | Score | Source |
|---|---|---|---|
| Capacité agentique | 12 | 65.0 | LS |
| Classement codage | 66 | 82.0 | AA |
| Classement général | 35 | 73.0 | AA |
| Raisonnement mathématique | 44 | 85.0 | LB |
| Science | 55 | 77.0 | AA |
Scores de benchmarks (LLM Stats)
(LLM Stats (zeroeval))Agents
QwenSVG
1608.00 / 2000Aut.
Kernel Bench L3
96.0%Aut.
SpreadSheetBench-v1
87.0%Aut.
CoWorkBench
67.2%Aut.
MCP-Mark
60.8%Aut.
QwenWorldBench
57.3%Aut.
Finance Agent v2
48.4%
VITA-Bench
47.9%Aut.
Chat
IFEvalGoogle Research (2023)
94.3%Aut.
Code
QwenWebBench
1568.00 / 2000Aut.
Claw-Eval
65.2%Aut.
ZClawBench
64.3%Aut.
SkillsBench
59.2%Aut.
NL2Repo
47.2%Aut.
General
MAXIFE
89.2%Aut.
Include
86.2%Aut.
NOVA-63
59.0%Aut.
Instruction Following
IFBench
79.1%Aut.
Language
MMLU-Redux
95.0%Aut.
MMMLU
90.3%Aut.
MMLU-Pro
89.6%Aut.
MMLU-ProX
87.0%Aut.
WMT24++
85.8%Aut.
Long Context
MRCR 128K (8-needle)
90.4%Aut.
Math
HMMT Feb 26
97.1%Aut.
IMO-AnswerBench
90.0%Aut.
PolyMATH
86.5%Aut.
LiveBench
74.3%
MathArena Apex
44.5%Aut.
Reasoning
GPQANYU + Cohere + Anthropic (2023)
92.4%Aut.
LiveCodeBench v6
91.6%Aut.
Global PIQA
91.4%Aut.
SWE-Bench Verified
80.4%Aut.
SWE-bench Multilingual
78.3%Aut.
MCP Atlas
76.4%Aut.
SuperGPQA
73.6%Aut.
Terminal-Bench 2.0Stanford × Laude Institute (2026)
69.7%Aut.
SWE-Bench ProPrinceton NLP (2024)
60.6%Aut.
SciCode
53.5%Aut.
Humanity's Last Exam
41.4%Aut.
CritPT
11.4%Aut.
Tool Calling
BFCL-V4
75.0%Aut.
Indices d'évaluation AA
(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)79.0
Terminalbench V2 174.5
Coding Index(Artificial Analysis)66.0
Terminalbench Hard(Stanford × Laude Institute (2026))50.8
Scicode(UIUC + Argonne National Lab (2024))49.5
Hle(Center for AI Safety + Scale AI (2025))40.5
Intelligence Index(Artificial Analysis)29.5
Tau Banking11.8
Terminalbench V4 01.5
Scores par catégorie LLM Stats
(LLM Stats (zeroeval))Chat90
Instruction Following90
Language90
Multimodal90
Spatial Reasoning90
Structured Output90
Legal80
Physics80
Productivity80
Frontend Development80
Healthcare80
Math70
Reasoning70
Finance70
General70
Biology70
Chemistry70
Code70
Economics70
Tool Calling70
Agents60
Vision60
Tarification
Prix d'entrée$2.5 / 1M tokens
Prix de sortie$7.5 / 1M tokens
Prix mixte (3:1)$3.75 / 1M tokens
Prix de lecture cache$0.5 / 1M tokens
Prix d'écriture cache$3.125 / 1M tokens
Vitesse
Tokens/sec0.0
Délai du premier token0.00s
Temps de réponse0.00s
Classement des Prix par Fournisseur
Classement des Prix par Fournisseur
25 fournisseurs
Moins cher: NovitaPlus cher: Modelis
FournisseurEntréeSortie
1NovitaMoins cher
$0
$0
2DeepInfra
$0
$0.00001
3Together
$0
$0.00001
4AIHubMix
$0.0282
$0.1128
5Alibaba (China)
$0.02962
$0.1185
6Alibaba
$0.03
$0.13
7NanoGPT
$0.03
$0.13
8OpenRouter
$0.03
$0.13
9Kilo Gateway
$0.03
$0.13
10DevPass (LLM Gateway)
$0.03
$0.13
11OrcaRouter
$0.03
$0.13
12Standard Compute
$0.03
$0.13
13CrossModel
$0.04
$0.13
14Charm Hyper
$0.2
$0.8
15Merge Gateway
$0.825
$2.4755
16ZenMux
$1.25
$3.75
17Novita AI
$1.25
$3.75
18Ofox
$1.71
$5.14
19302.AI
$1.8
$5.3
20Abacus
$2.5
$7.5
21Requesty
$2.5
$7.5
22EmpirioLabs AI
$2.5
$7.5
23Impossibl
$2.5
$7.5
24NEAR AI Cloud
$2.8
$7.5
25Modelis
$3
$9
Comparer les prix entre différents fournisseurs API pour ce modèle.