Aime
Measured May 14, 2026Source
Score
0.45
Models8 0 
阿里巴巴
QwQ 32B-Preview
阿里巴巴阿里巴巴China
QwQ 32B-Preview is a 32-billion parameter reasoning model developed by Alibaba's Qwen team. It is specifically designed to excel at complex reasoning tasks, particularly in mathematics and coding, utilizing reinforcement learning to enhance its problem-solving capabilities. The model features a 'thinking' mode that allows it to break down problems step-by-step before providing a final answer.
ReasoningCodingFastCheap
Input / 1M tokens
$0.00Output / 1M tokens
$0.00Supported plans
0Benchmark history
Evaluations
Math 500
Measured May 14, 2026Source
Score
0.91
Scicode
Measured May 14, 2026Source
Score
0.04
Livecodebench
Measured May 14, 2026Source
Score
0.34
Hle
Measured May 14, 2026Source
Score
0.05
Gpqa
Measured May 14, 2026Source
Score
0.56
Mmlu Pro
Measured May 14, 2026Source
Score
0.65
Artificial Analysis Intelligence Index
Measured May 14, 2026Source
Score
15.2
Plan availability
Products and plans that support this model
No products or plans have been linked to this model yet.
Discussion
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