Qwen 3.6 Plus is a commercial native multimodal agent model with a major step up over the 3.5 series in agentic coding, front-end programming, OCR, object localization, and general vision-language performance. Supports text, image, and video input with a 1M context window.
Added Apr 2, 2026
Context Window
991.8K
Max Output
65.5K
Avg output tokens (7d)
1.7K tokens
Input Price (Auto)
$0.33/1M
Output Price (Auto)
$1.95/1M
Cache Read (Auto)
$0.032/1M
Capabilities
Benchmarks
Benchmarks
Performance metrics and benchmarks
Sourced from Artificial Analysis.
Intelligence Index
40.5
Coding Index
54.5
Agentic Index
29.0
Reasoning
GPQA Diamond
Graduate-level scientific reasoning
88.2%
Better than 87% of models compared
HLE
Humanity's Last Exam
27.8%
Better than 82% of models compared
IFBench
Instruction-following benchmark
75.2%
Better than 92% of models compared
T²-Bench Telecom
Conversational AI agents in dual-control scenarios
97.7%
Better than 98% of models compared
AA-LCR
Long context reasoning evaluation
72.3%
Better than 84% of models compared
GDPval-AA
Economically valuable tasks
31.9%
CritPt
Research-level physics reasoning
2.9%
Coding
SciCode
Python programming for scientific computing
40.7%
Better than 73% of models compared
Terminal-Bench Hard
Agentic coding and terminal use
43.9%
Better than 91% of models compared
Knowledge
AA-Omniscience Accuracy
Proportion of correctly answered questions
26.4%
AA-Omniscience Hallucination Rate
Rate of incorrect answers among non-correct responses
34.6%
Last updated Aug 18, 2026
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