GTE vs OpenAI Text Embedding 3

Embedding model family from Alibaba, trained for retrieval and ranking.

功能对比

GTE 与 OpenAI Text Embedding 3 功能对比
维度	GTE	OpenAI Text Embedding 3
Dimensions	1024	1536 by default, 256 to 3072 selectable
License	Apache-2.0	Proprietary
Max tokens	8192	8191
Open weights	Yes	No
Provider	Alibaba	OpenAI

灰底行表示两者相同；有差异的行才是下方推荐结论的依据。

该选哪个？

由上述差异按固定规则生成，不是模型生成的。

Choose GTE if…

已记录的属性中，没有任何一项显示它更有优势。

Choose OpenAI Text Embedding 3 if…

已记录的属性中，没有任何一项显示它更有优势。

GTE

model · Embedding Models

GTE is a family of text embedding models trained for retrieval, with variants covering English and multilingual use and long inputs. It solves the same problem as the other retrieval-focused embedding families: a general-purpose encoder is not optimised for the asymmetric comparison of a short query against a long document. It exists because retrieval quality is decided at the embedding step, and a family that scores well on public retrieval benchmarks is the cheapest way to improve everything downstream.

OpenAI Text Embedding 3

model · Embedding Models

Text Embedding 3 is OpenAI's hosted embedding family, notable for letting the caller choose a shorter output vector than the model natively produces. It solves the storage problem directly: embedding indexes are sized by dimensions times vectors, so trimming 3072 dimensions to 512 or 256 shrinks the index substantially at a small quality cost. It exists because that trade is one the caller is better placed to make than the model author, and it removes the need to retrain to change it.