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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 1.5B is 89% cheaper than DeepSeek R1 Distill Qwen 14B
⚡DeepSeek R1 Distill Qwen 14B is 3ms faster than DeepSeek R1 Distill Qwen 1.5B
Price (lower is better), Speed/Latency (lower is better), Performance (higher is better)
DeepSeek R1 Distill Qwen 1.5B is 789% cheaper
DeepSeek R1 Distill Qwen 14B is 1% faster
| Spec | DeepSeek R1 Distill Qwen 1.5B | DeepSeek R1 Distill Qwen 14B |
|---|---|---|
| Provider | deepseek-ai | deepseek-ai |
| Input price / 1M tokens | $0.18 | $1.60 |
| Output price / 1M tokens | $0.18 | $1.60 |
| Context window | 131k tokens | 131k tokens |
| Latency (p50) | 256ms | 253ms |
| Best benchmark score | — | — |
| Open source | No | No |
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.
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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