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Side-by-side comparison of API pricing, context window, latency, and benchmark performance. Data refreshed daily from provider APIs and ModelStop's own latency probes.
💰deepseek-r1-distill-qwen-32b is 69% cheaper than DeepSeek R1 Distill Qwen 14B
⚡DeepSeek R1 Distill Qwen 14B is 119ms faster than deepseek-r1-distill-qwen-32b
Price (lower is better), Speed/Latency (lower is better), Performance (higher is better)
deepseek-r1-distill-qwen-32b is 222% cheaper
DeepSeek R1 Distill Qwen 14B is 47% faster
| Spec | deepseek-r1-distill-qwen-32b | DeepSeek R1 Distill Qwen 14B |
|---|---|---|
| Provider | deepseek-ai | deepseek-ai |
| Input price / 1M tokens | $0.50 | $1.60 |
| Output price / 1M tokens | $4.88 | $1.60 |
| Context window | 80k tokens | 131k tokens |
| Latency (p50) | 372ms | 253ms |
| Best benchmark score | — | — |
| Open source | No | No |
DeepSeek-R1-Distill-Qwen-32B is a model distilled from DeepSeek-R1 based on Qwen2.5. It outperforms OpenAI-o1-mini across various benchmarks, achieving new state-of-the-art results for dense models.
This 14-billion-parameter distilled model excels at reasoning tasks and general-purpose applications with a massive 131K token context window, making it ideal for developers and researchers seeking cost-effective performance on complex problem-solving, long-document analysis, and multi-turn conversations at just $1.60 per million input tokens.
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