AI Comparison
Qwen 3.6 Plus builds on a hybrid architecture that combines efficient linear attention with sparse mixture-of-experts routing, enabling strong scalability and high-performance inference. Compared to the 3.5 series, it delivers...
Author
QwenRelease Date
2026-04-02
Knowledge Cutoff
—
License
Proprietary
I/O Format
Context Length
1M / 66K
API I/O (1M)
$0.325 / $1.95
How to Use
—
Output Speed
49 tok/sArena Overall
—Intelligence Index
50.0Coding Index
42.9Math Index
—LiveBench
70.8ForecastBench
—GPQA Diamond
88.2%HLE
25.7%MMLU-Pro
—AIME 2025
—MATH-500
—LB Reasoning
75.8LB Math
83.7LB Data Analysis
69.9LiveCodeBench
—LB Coding
78.2LB Agentic
55.0TAU2
97.7%TerminalBench
43.9%SciCode
40.7%IFBench
75.2%AA-LCR
0.7Hallucination (HHEM)
—Factual Consistency (HHEM)
—LB Language
75.0LB Instruction Following
58.31 / 3
좌우로 스와이프하여 전환
Qwen 3.6 Plus builds on a hybrid architecture that combines efficient linear attention with sparse mixture-of-experts routing, enabling strong scalability and high-performance inference. Compared to the 3.5 series, it delivers...
Author
QwenRelease Date
2026-04-02
Knowledge Cutoff
—
License
Proprietary
I/O Format
Context Length
1M / 66K
API I/O (1M)
$0.325 / $1.95
How to Use
—
Output Speed
49 tok/sArena Overall
—Intelligence Index
50.0Coding Index
42.9Math Index
—LiveBench
70.8ForecastBench
—GPQA Diamond
88.2%HLE
25.7%MMLU-Pro
—AIME 2025
—MATH-500
—LB Reasoning
75.8LB Math
83.7LB Data Analysis
69.9LiveCodeBench
—LB Coding
78.2LB Agentic
55.0TAU2
97.7%TerminalBench
43.9%SciCode
40.7%IFBench
75.2%AA-LCR
0.7Hallucination (HHEM)
—Factual Consistency (HHEM)
—LB Language
75.0LB Instruction Following
58.3