DeepSeek-R1-Distill-32B is a distilled model built upon Qwen2.5-32B, incorporating the best reasoning algorithms from DeepSeek-R1 and expert knowledge. It sets new records among open-source dense models across several reasoning benchmarks: AIME 2024–72.6%, MATH-500–94.3%, and others. In practice, this model is nearly on par with the distilled 70-billion-parameter version and even surpasses it in certain tests.
Technically, the model is designed for solving expert-level tasks: complex mathematical computations, code generation and analysis, scientific research, and processing long or intricate contexts. DeepSeek-R1-Distill-32B can be integrated into enterprise systems, cloud services, and platforms for automating intellectual labor. For end-user applications, it is indispensable for building expert systems, scientific assistants, platforms for automating complex business processes, and educational solutions that require thorough and well-articulated explanations in responses.
DeepSeek-R1-Distill-32B is the choice for those seeking maximum performance among open-source models without the need to move to the heaviest systems.
| Model Name | Context | Type | GPU | Status | Link |
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There are no public endpoints for this model yet.
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We recommend creating private endpoints when you need to:
| Name | GPU | TPS | Max Concurrency | |||
|---|---|---|---|---|---|---|
131,072.0 pipeline |
3 | $1.34 | 1.012 | Launch | ||
131,072.0 tensor |
4 | $1.62 | 1.601 | Launch | ||
131,072.0 pipeline |
6 | $1.65 | 1.261 | Launch | ||
131,072.0 pipeline |
3 | $2.29 | 1.100 | Launch | ||
131,072.0 |
1 | $2.37 | 1.612 | Launch | ||
131,072.0 pipeline |
3 | $2.83 | 1.097 | Launch | ||
131,072.0 tensor |
4 | $2.89 | 1.723 | Launch | ||
131,072.0 tensor |
2 | $2.93 | 1.030 | Launch | ||
131,072.0 tensor |
4 | $3.01 | 1.723 | Launch | ||
131,072.0 tensor |
4 | $3.60 | 1.718 | Launch | ||
131,072.0 |
1 | $3.83 | 1.610 | Launch | ||
131,072.0 |
1 | $4.11 | 2.010 | Launch | ||
131,072.0 tensor |
2 | $4.61 | 3.784 | Launch | ||
131,072.0 |
1 | $4.74 | 3.353 | Launch | ||
131,072.0 tensor |
2 | $9.40 | 7.266 | Launch | ||
| Name | GPU | TPS | Max Concurrency | |||
|---|---|---|---|---|---|---|
131,072.0 pipeline |
6 | $1.65 | 1.134 | Launch | ||
131,072.0 tensor |
4 | $1.75 | 1.373 | Launch | ||
131,072.0 |
1 | $2.50 | 1.217 | Launch | ||
131,072.0 tensor |
4 | $2.97 | 60.61 | 1.494 | Launch | |
131,072.0 tensor |
4 | $3.01 | 1.494 | Launch | ||
131,072.0 tensor |
4 | $3.67 | 1.490 | Launch | ||
131,072.0 |
1 | $3.95 | 1.215 | Launch | ||
131,072.0 |
1 | $4.11 | 1.615 | Launch | ||
131,072.0 pipeline |
3 | $4.34 | 1.463 | Launch | ||
131,072.0 tensor |
2 | $4.61 | 3.444 | Launch | ||
131,072.0 |
1 | $4.74 | 2.958 | Launch | ||
131,072.0 tensor |
4 | $5.74 | 2.390 | Launch | ||
131,072.0 tensor |
2 | $9.40 | 6.926 | Launch | ||
| Name | GPU | TPS | Max Concurrency | |||
|---|---|---|---|---|---|---|
131,072.0 |
1 | $4.74 | 2.005 | Launch | ||
131,072.0 tensor |
2 | $4.93 | 2.436 | Launch | ||
131,072.0 tensor |
2 | $4.94 | 2.436 | Launch | ||
131,072.0 tensor |
4 | $5.76 | 1.271 | Launch | ||
131,072.0 pipeline |
6 | $5.84 | 1.405 | Launch | ||
131,072.0 tensor |
8 | $6.04 | 2.657 | Launch | ||
131,072.0 tensor |
8 | $7.52 | 2.647 | Launch | ||
131,072.0 tensor |
2 | $7.85 | 2.432 | Launch | ||
131,072.0 tensor |
2 | $8.17 | 3.232 | Launch | ||
131,072.0 tensor |
2 | $9.41 | 5.918 | Launch | ||
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