Loading...
Loading...
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 1.5B is 64% cheaper than deepseek-r1-distill-qwen-32b
⚡DeepSeek R1 Distill Qwen 1.5B is 116ms faster than deepseek-r1-distill-qwen-32b
Price (lower is better), Speed/Latency (lower is better), Performance (higher is better)
DeepSeek R1 Distill Qwen 1.5B is 176% cheaper
DeepSeek R1 Distill Qwen 1.5B is 45% faster
| Spec | deepseek-r1-distill-qwen-32b | DeepSeek R1 Distill Qwen 1.5B |
|---|---|---|
| Provider | deepseek-ai | deepseek-ai |
| Input price / 1M tokens | $0.50 | $0.18 |
| Output price / 1M tokens | $4.88 | $0.18 |
| Context window | 80k tokens | 131k tokens |
| Latency (p50) | 372ms | 256ms |
| 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 lightweight 1.5B parameter model excels at fast, cost-effective reasoning tasks with a 131K token context window, making it ideal for developers and researchers seeking efficient inference for question-answering, summarization, and logic-based applications on resource-constrained systems.
Want to swap in a different model or estimate monthly costs?
Help my team choose the right model
Not sure which model fits your workload, budget, and latency requirements? Get a tailored recommendation.