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)
171 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
27.0
Coding Index
54.5
Agentic work
T²-Bench Telecom (legacy)
Legacy fallback · Conversational AI agents in dual-control scenarios
97.7%
Better than 98% of models compared
GDPval-AA v2
Economically valuable tasks (Elo)
976 Elo
Better than 45% of models compared
Document reasoning
AA-LCR v1.1
Long context reasoning with updated grading
78.3%
Better than 81% of models compared
Reasoning
HLE
Humanity's Last Exam
27.8%
Better than 75% of models compared
IFBench
Instruction-following benchmark
75.2%
Better than 92% of models compared
CritPt
Research-level physics reasoning
2.9%
Coding
Terminal-Bench Hard (legacy)
Legacy fallback · 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%
Legacy benchmarks
GPQA Diamond (legacy)
Graduate-level scientific reasoning
88.2%
Better than 85% of models compared
AA-LCR (unversioned / legacy)
Long context reasoning evaluation
78.3%
Better than 81% of models compared
GDPval-AA (unversioned / legacy)
Economically valuable tasks
23.8%
Last updated Oct 1, 2026
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