The thinking version of Qwen 3 235b A22B 2507, with enhanced reasoning capabilities and step-by-step problem solving.
Added Sep 11, 2025
Model weightsContext Window
256.0K
Max Output
262.1K
Input Price (Auto)
$0.23/1M
Output Price (Auto)
$2.30/1M
Cache Read (Auto)
$0.20/1M
Benchmarks
Benchmarks
Performance metrics and benchmarks
Sourced from Artificial Analysis.
Intelligence Index
19.9
Coding Index
22.1
Agentic Index
3.8
Reasoning
GPQA Diamond
Graduate-level scientific reasoning
79.0%
Better than 68% of models compared
HLE
Humanity's Last Exam
15.9%
Better than 70% of models compared
IFBench
Instruction-following benchmark
51.2%
Better than 61% of models compared
T²-Bench Telecom
Conversational AI agents in dual-control scenarios
53.2%
Better than 54% of models compared
AA-LCR
Long context reasoning evaluation
70.7%
Better than 81% of models compared
GDPval-AA
Economically valuable tasks
2.1%
CritPt
Research-level physics reasoning
0.0%
Coding
SciCode
Python programming for scientific computing
42.4%
Better than 78% of models compared
Terminal-Bench Hard
Agentic coding and terminal use
13.6%
Better than 50% of models compared
LiveCodeBench
Contamination-free coding benchmark
78.8%
Better than 90% of models compared
Math
AIME 2025
American Invitational Mathematics Examination 2025
91.0%
Better than 92% of models compared
AIME
American Invitational Mathematics Examination
94.0%
Better than 98% of models compared
Math-500
Diverse mathematical problem solving benchmark
98.4%
Better than 95% of models compared
Knowledge
MMLU-Pro
Professional and academic subject knowledge
84.3%
Better than 89% of models compared
AA-Omniscience Accuracy
Proportion of correctly answered questions
22.8%
AA-Omniscience Hallucination Rate
Rate of incorrect answers among non-correct responses
89.8%
Last updated Aug 16, 2026
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