DeepSeekOpen-weight·33K context·— params
R1 Distill Qwen 32Bdeepseek/deepseek-r1-distill-qwen-32b
DeepSeek R1 Distill Qwen 32B is a distilled large language model based on [Qwen 2.5 32B](https://huggingface.co/Qwen/Qwen2.5-32B), using outputs from [DeepSeek R1](/deepseek/deepseek-r1). It outperforms OpenAI's o1-mini across various benchmarks, achieving new...
Pricing across providers
No current verified API pricing is listed. See the official model documentation for availability and billing.
Capabilities
Technical specs
- Context
- 33K
- Max output
- 33K
- Parameters
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- Release
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- Training cutoff
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- License
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Similar models
Compare with
- R1 Distill Qwen 32B vs DeepSeek V3Comparison planned — not yet published
- R1 Distill Qwen 32B vs DeepSeek V3 0324Comparison planned — not yet published
- R1 Distill Qwen 32B vs DeepSeek V3.1Comparison planned — not yet published
Frequently asked
How much does R1 Distill Qwen 32B cost?+−
No current verified API pricing is listed. This does not mean the model is free or that a hosted API is currently available. Check the official model documentation below.
How do I access R1 Distill Qwen 32B from outside China?+−
Availability, account verification and payment methods vary by provider and region. Check the official documentation and the selected provider's access requirements before integrating. A directory listing does not guarantee global API access.
Is R1 Distill Qwen 32B open-source? Can I fine-tune it?+−
R1 Distill Qwen 32B has published weights. License: see the official repository. Review the linked repository and license for deployment, fine-tuning and commercial-use conditions.
What's the maximum context window for R1 Distill Qwen 32B?+−
The model supports up to 32,768 tokens of context (input + output). Some hosted versions may impose a smaller limit — check the "Context" column in the pricing matrix for each provider.