# sentence-transformers/paraphrase-MiniLM-L6-v2 价格对比

We present a sentence similarity model based on the Sentence Transformers architecture, which maps sentences to a 384-dimensional dense vector space. The model uses a pre-trained BERT encoder and applies mean pooling on top of the contextualized word embeddings to obtain sentence embeddings. We evaluate the model on the Sentence Embeddings Benchmark.

> 数据更新时间：2026-10-16T04:48:38.564Z；各价格组件保留来源币种与计价单位，可追溯至原始采集记录。

| 供应商 | SKU | 价格组件 | 采集来源 | 更新时间 (UTC) |
|---|---|---|---|---|
| [DeepInfra](/providers/deepinfra) | `sentence-transformers/paraphrase-MiniLM-L6-v2` | 输入（未缓存） $0.0050 / 1M tokens | [DeepInfra /models/list](https://api.deepinfra.com/models/list) | 2026-10-16 04:48 |

别名：sentence-transformers/paraphrase-MiniLM-L6-v2