Qwen3.5 35B A3B with extended reasoning enabled. A native vision-language MoE model with hybrid attention.
Added Feb 24, 2026
Model weightsContext Window
260.1K
Max Output
65.5K
Input Price (Auto)
$0.23/1M
Output Price (Auto)
$1.80/1M
Cache Read (Auto)
$0.11/1M
Capabilities
Benchmarks
Benchmarks
Performance metrics and benchmarks
Sourced from Artificial Analysis.
Reasoning
GPQA Diamond
Graduate-level scientific reasoning
84.5%
Better than 80% of models compared
HLE
Humanity's Last Exam
21.0%
Better than 76% of models compared
IFBench
Instruction-following benchmark
72.5%
Better than 89% of models compared
T²-Bench Telecom
Conversational AI agents in dual-control scenarios
89.2%
Better than 84% of models compared
AA-LCR
Long context reasoning evaluation
68.3%
Better than 75% of models compared
CritPt
Research-level physics reasoning
0.9%
Coding
SciCode
Python programming for scientific computing
37.7%
Better than 62% of models compared
Terminal-Bench Hard
Agentic coding and terminal use
26.5%
Better than 67% of models compared
Knowledge
AA-Omniscience Accuracy
Proportion of correctly answered questions
20.1%
AA-Omniscience Hallucination Rate
Rate of incorrect answers among non-correct responses
85.4%
Last updated Aug 7, 2026, 12:00 AM
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