R1 Distill Qwen 32B pricing
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 state-of-the-art results for dense models.\n\nOther benchmark results include:\n\n- AIME 2024 pass@1: 72.6\n- MATH-500 pass@1: 94.3\n- CodeForces Rating: 1691\n\nThe model leverages fine-tuning from DeepSeek R1's outputs, enabling competit. Below you will find 5 current rows with input and output dollars per million. Right now the lowest input is $0.150 and the lowest output is $0.150.
Pricing across providers
Use this table to read R1 Distill Qwen 32B list prices. We show 5 sources right now. Lowest input in the grid: Nscale. The chart below the table helps when output prices are much higher than input prices.
| Provider | Input / 1M | Output / 1M | Cached input | Batch |
|---|---|---|---|---|
O Openrouter | $0.290 | $0.290 | — | — |
N Novita | $0.300 | $0.300 | — | — |
N Nscale | $0.150 | $0.150 | — | — |
FA Fireworks AI | $0.900 | $0.900 | — | — |
D DeepInfra | $0.270 | $0.270 | — | — |
Input vs output · per provider
Cost calculator
Use this block to stress test R1 Distill Qwen 32B cost without a spreadsheet. All estimates come from public list rates in this page.
Provider
0.029000¢ / req
0.014500¢ / req
Model specifications
Quick spec sheet for R1 Distill Qwen 32B before you dive back into pricing. Family: DeepSeek R1. Reported under Alibaba.
- Context window
- 131,072 tokens
- Max output
- 131,072 tokens
- Vision (images)
- No
- Tool / function calling
- Yes
- Streaming
- No
- Released
- Jan 2025
- Primary provider
- Alibaba
- Model family
- DeepSeek R1
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Frequently asked questions
Quick frequently asked items for R1 Distill Qwen 32B pricing and limits. The short model note from our index: 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 ...
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