Private AI
Qwen3.6 35B A3B is a native vision-language MoE model with hybrid attention. Compared to Qwen3.5 35B A3B, Alibaba reports stronger agentic coding, mathematical and code reasoning, and better spatial understanding (including object localization and detection).
Added Apr 17, 2026
Model weightsContext Window
262.1K
Max Output
16.4K
Avg output tokens (7d)
1.8K tokens
Input Price (Auto)
$0.12/1M
Output Price (Auto)
$0.84/1M
Cache Read (Auto)
$0.059/1M
Capabilities
Performance metrics and benchmarks
Sourced from Artificial Analysis.
Intelligence Index
24.2
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Coding Index
28.1
Agentic Index
19.1
GPQA Diamond
Graduate-level scientific reasoning
81.7%
Better than 74% of models compared
HLE
Humanity's Last Exam
12.5%
Better than 68% of models compared
IFBench
Instruction-following benchmark
36.2%
Better than 28% of models compared
T²-Bench Telecom
Conversational AI agents in dual-control scenarios
85.1%
Better than 77% of models compared
AA-LCR
Long context reasoning evaluation
56.7%
Better than 66% of models compared
GDPval-AA
Economically valuable tasks
26.1%
CritPt
Research-level physics reasoning
0.0%
SciCode
Python programming for scientific computing
1.3%
Better than 1% of models compared
Terminal-Bench Hard
Agentic coding and terminal use
25.8%
AA-Omniscience Accuracy
Proportion of correctly answered questions
17.1%
AA-Omniscience Hallucination Rate
Rate of incorrect answers among non-correct responses
92.7%
Last updated Jul 31, 2026
Artificial AnalysisBetter than 67% of models compared
