DeepSeek R1 Distill Qwen 32B
Zero-eval
by DeepSeek
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About
DeepSeek R1 Distill Qwen 32B is a language model developed by DeepSeek. It achieves strong performance with an average score of 74.2% across 4 benchmarks. It excels particularly in MATH-500 (94.3%), AIME 2024 (83.3%), GPQA (62.1%). It supports a 256K token context window for handling large documents. The model is available through 1 API provider. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents DeepSeek's latest advancement in AI technology.
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Pricing Range
Input (per 1M)$0.12 -$0.12
Output (per 1M)$0.18 -$0.18
Providers1
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Timeline
AnnouncedJan 20, 2025
ReleasedJan 20, 2025
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Specifications
Training Tokens14.8T
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License & Family
License
MIT
Performance Overview
Performance metrics and category breakdown
Overall Performance
4 benchmarks
Average Score
74.2%
Best Score
94.3%
High Performers (80%+)
2Performance Metrics
Max Context Window
256.0KAvg Throughput
37.0 tok/sAvg Latency
1ms+
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All Benchmark Results for DeepSeek R1 Distill Qwen 32B
Complete list of benchmark scores with detailed information
| MATH-500 | text | 0.94 | 94.3% | Self-reported | |
| AIME 2024 | text | 0.83 | 83.3% | Self-reported | |
| GPQA | text | 0.62 | 62.1% | Self-reported | |
| LiveCodeBench | text | 0.57 | 57.2% | Self-reported |