Qwen3.6 Plus
AlibabaQwenProprietary
描述
Qwen3.6 Plus is Alibaba's next-generation flagship model featuring a 1 million token native context window, up to 65,536 output tokens, and always-on chain-of-thought reasoning. It uses a next-generation hybrid architecture optimized for efficiency and scalability. It leads on Terminal-Bench 2.0 agentic coding (61.6), surpassing Claude 4.5 Opus, and achieves strong results on document understanding (OmniDocBench 91.2) and multimodal reasoning (MMMU 86.0). Compared to Qwen 3.5, it is significantly more decisive in reasoning, using fewer tokens on straightforward tasks with better agent stability.
發布日期
2026-04-02
參數規模
—
上下文長度
1.0M
支援模態
image, text, video
能力雷達圖
27
general
55
coding
88
reasoning
70
science
60
agents
90
multimodal
排行榜排名
基準測試分數 (LLM Stats)
(LLM Stats (zeroeval))Agents
TAU3-Bench
70.7%自報
MCP-Mark
48.2%自報
VITA-Bench
44.3%自報
DeepPlanning
41.5%自報
Finance Agent v2
40.8%
Toolathlon
39.8%自報
Chat
IFEvalGoogle Research (2023)
94.3%自報
Code
Claw-Eval
58.7%自報
SkillsBench
45.7%自報
NL2Repo
37.9%自報
FrontierSWE
22.0%
General
C-Eval
93.3%自報
MAXIFE
88.2%自報
Include
85.1%自報
NOVA-63
57.9%自報
Instruction Following
IFBench
74.2%自報
Language
MMLU-Redux
94.5%自報
MMMLU
89.5%自報
MMLU-Pro
88.5%自報
MMLU-ProX
84.7%自報
WMT24++
84.3%自報
Long Context
LongBench v2
62.0%自報
Math
HMMT 2025
96.7%自報
AIME 2026
95.3%自報
HMMT25
94.6%自報
We-Math
89.0%自報
DynaMath
88.0%自報
MathVision
88.0%自報
HMMT Feb 26
87.8%自報
IMO-AnswerBench
83.8%自報
PolyMATH
77.4%自報
LiveBench
70.9%
Multimodal
MMMU
86.0%自報
Video-MME
84.2%自報
VideoMMMU
84.0%自報
OSWorld-Verified
62.5%自報
TIR-Bench
61.6%自報
Reasoning
GPQANYU + Cohere + Anthropic (2023)
90.4%自報
Global PIQA
89.8%自報
LiveCodeBench v6
87.1%自報
CharXiv-R
81.5%自報
SWE-Bench Verified
78.8%自報
MCP Atlas
74.1%自報
SWE-bench Multilingual
73.8%自報
SuperGPQA
71.6%自報
AA-LCR
68.3%自報
Terminal-Bench 2.0Stanford × Laude Institute (2026)
61.6%自報
SWE-Bench ProPrinceton NLP (2024)
56.6%自報
Humanity's Last Exam
28.8%自報
Search
WideSearch
74.3%自報
Video
MLVU
86.7%自報
Vision
CountBench
0.98 / 100自報
V*
96.9%自報
AI2D
94.4%自報
RefCOCO-avg
0.94 / 100自報
OmniDocBench 1.5
91.2%自報
RealWorldQA
85.4%自報
CC-OCR
83.4%自報
MMStar
83.3%自報
MMMU-Pro
78.8%自報
ScreenSpot Pro
68.2%自報
SimpleVQA
0.67 / 100自報
ERQA
65.7%自報
MMLongBench-Doc
0.62 / 100自報
ODinW
51.8%自報
AA 評測指數
(Artificial Analysis)Tau2(Sierra + U Toronto + Vector Institute (2025))97.7
Gpqa(NYU + Cohere + Anthropic (2023))88.2
Lcr(Artificial Analysis)78.3
Ifbench(Google Research (2023))75.2
Terminalbench V2 161.4
Coding Index(Artificial Analysis)54.5
Terminalbench Hard(Stanford × Laude Institute (2026))43.9
Hle(Center for AI Safety + Scale AI (2025))27.8
Intelligence Index(Artificial Analysis)27.0
Tau Banking20.8
LLM Stats 分類評分
(LLM Stats (zeroeval))Chat90
Language90
Biology90
Video90
Instruction Following80
Legal80
Math80
Multimodal80
Physics80
Reasoning80
Spatial Reasoning80
Structured Output80
Frontend Development80
Grounding80
Healthcare80
Chemistry80
Text-to-image80
Vision80
Image To Text70
Long Context70
Search70
Finance70
General70
Economics70
Code60
Tool Calling60
Agents50
定價
輸入價格$0.5 / 1M tokens
輸出價格$3 / 1M tokens
混合價格(3:1)$1.125 / 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0.0
首Token延遲0.00s
首回答延遲0.00s
供應商價格排行
供應商價格排行
21 個供應商
最便宜: Novita最貴: Ofox
供應商輸入輸出
1Novita最便宜
$0
$0
2Together
$0
$0
3Merge Gateway
$0.276
$1.651
4AIHubMix
$0.28
$1.69
5302.AI
$0.3
$1.8
6CrossModel
$0.32
$1.88
7NanoGPT
$0.325
$1.95
8OpenRouter
$0.325
$1.95
9Kilo Gateway
$0.325
$1.95
10Pioneer
$0.325
$1.95
11Alibaba主要
$0.5
$3
12OpenCode Go
$0.5
$3
13Alibaba (China)
$0.5
$3
14ZenMux
$0.5
$3
15OpenCode Zen
$0.5
$3
16Requesty
$0.5
$3
17DevPass (LLM Gateway)
$0.5
$3
18OrcaRouter
$0.5
$3
19LLMTR
$0.5
$3
20EmpirioLabs AI
$0.5
$3
21Ofox
$0.5
$3
比較該模型在不同 API 供應商之間的定價。