GTE Base - Kyma API

Overview

768-dimension general text embeddings from Alibaba’s Tongyi lab, trained on a broader mixture than BGE and often a point or two ahead of it on out-of-domain retrieval. Same size and same price as bge-base-en, so the choice is which one your corpus likes.

Specs

Field	Value
Model ID	`gte-base`
Best for	Out-of-domain English retrieval
Context window	512
Input modalities	Text
Output modalities	Text
Speed	Fast
Cost band	Cheap
Release stage	Stable

Pricing

	Per 1M tokens
Input	$0.00675
Output	$0.00

Example

from openai import OpenAI

client = OpenAI(base_url="https://kymaapi.com/v1", api_key="kyma-...")

response = client.embeddings.create(
    model="gte-base",
    input=["first document", "second document"],
)

Agent query example

Ask the API which models fit, instead of hardcoding an id:

curl "https://kymaapi.com/v1/models?recommended_for=search-documents&quality_tier=strong"

​Overview

​Specs

​Pricing

​Example

​Agent query example

Overview

Specs

Pricing

Example

Agent query example