DeepSeek R1 Distill Qwen 32B

R1 Distill Qwen 32B by DeepSeek excels in the Coding category, where it ranks #323 with a composite score of 37/100. 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... It is particularly strong in areas highlighted by its top benchmark performance and adoption metrics, making it suitable for both individual developers and enterprise teams looking for a reliable coding solution.

R1 Distill Qwen 32B is priced at $0.29 per million input tokens and $0.29 per million output tokens (USD). Contact the provider for volume discounts and enterprise pricing. Pricing is competitive within the coding category and reflects the model's quality-to-cost ratio.

In the Coding category, R1 Distill Qwen 32B holds rank #323 out of 340 models tracked. Its quality rank is #323 and adoption rank is #323. You can use our comparison tool at /compare to see detailed side-by-side metrics with specific alternatives. Key differentiators include its composite scoring across benchmarks, community sentiment, and real-world adoption rates.

R1 Distill Qwen 32B has been evaluated across 6 different signals. Its strongest areas include Capabilities (50/100), Benchmarks (35/100), Pricing (100/100). These scores are derived from industry-standard benchmarks, community ratings, and real-world performance metrics. The composite score of 37/100 reflects a weighted combination of all tracked signals.

R1 Distill Qwen 32B is a paid model, though some providers may offer trial credits or limited free tiers for evaluation. Check DeepSeek's website for current free tier availability and promotional offers.

R1 Distill Qwen 32B supports a 33K token context window (32,768 tokens total). That translates to roughly 24,576 words in a single prompt. Plenty for most coding tasks, medium-length documents, and extended conversations.

R1 Distill Qwen 32B can generate up to 33K output tokens (32,768 tokens) per response. That is roughly 24,576 words. This is enough for generating complete code files, detailed reports, or long-form content in a single response.

R1 Distill Qwen 32B supports structured JSON output, extended reasoning/chain-of-thought, streaming responses. These capabilities determine which workflows and integrations the model can handle natively.

Yes, R1 Distill Qwen 32B is an open-source model. You can download the weights, run it locally, fine-tune it for your use case, or deploy it on your own infrastructure. Many cloud providers also offer hosted versions if you prefer not to manage the infrastructure yourself. Self-hosting gives you full control over data privacy and eliminates per-token API costs.

R1 Distill Qwen 32B was developed by DeepSeek. It was released on January 29, 2025. You can access it through DeepSeek's API or download the model weights directly. Check our provider page for all models from DeepSeek and how they compare against each other.

Pick R1 Distill Qwen 32B when you need a budget-friendly option for high-volume, simpler tasks where you prioritize cost over peak performance. If your task is straightforward text completion or classification, a cheaper model might give you 90% of the quality at a fraction of the price. Run a quick benchmark on your actual use case before committing.

You can access R1 Distill Qwen 32B through DeepSeek's API using standard HTTP requests or their official SDK. Most providers support OpenAI-compatible endpoints, so switching between models often requires changing just the model name in your API call. Streaming is supported for real-time token-by-token output. For production use, implement proper error handling, rate limiting, and cost monitoring.