QwQ-32B-Preview
Zero-eval
by Alibaba Cloud / Qwen Team
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About
QwQ-32B-Preview is a language model developed by Alibaba Cloud / Qwen Team. It achieves strong performance with an average score of 63.9% across 4 benchmarks. It excels particularly in MATH-500 (90.6%), GPQA (65.2%), AIME 2024 (50.0%). The model is available through 4 API providers. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2024, it represents Alibaba Cloud / Qwen Team's latest advancement in AI technology.
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Pricing Range
Input (per 1M)$0.15 -$1.20
Output (per 1M)$0.20 -$1.20
Providers4
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Timeline
AnnouncedNov 28, 2024
ReleasedNov 28, 2024
Knowledge CutoffNov 28, 2024
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License & Family
License
Apache 2.0
Base ModelQwen2.5 32B Instruct
Performance Overview
Performance metrics and category breakdown
Overall Performance
4 benchmarks
Average Score
63.9%
Best Score
90.6%
High Performers (80%+)
1Performance Metrics
Max Context Window
65.5KAvg Throughput
67.3 tok/sAvg Latency
1ms+
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All Benchmark Results for QwQ-32B-Preview
Complete list of benchmark scores with detailed information
| MATH-500 | text | 0.91 | 90.6% | Self-reported | |
| GPQA | text | 0.65 | 65.2% | Self-reported | |
| AIME 2024 | text | 0.50 | 50.0% | Self-reported | |
| LiveCodeBench | text | 0.50 | 50.0% | Self-reported |