BGE-M3 - Kyma API

Overview

1024-dimension embeddings across 100+ languages, built for retrieval that has to work in more than English. The 8K window takes a whole page without chunking. Reach for it when the corpus is multilingual and the per-million rate matters.

Specs

Field	Value
Model ID	`bge-m3`
Best for	Multilingual RAG, cross-language search
Context window	8,192
Input modalities	Text
Output modalities	Text
Speed	Fast
Cost band	Cheap
Release stage	Stable

Pricing

	Per 1M tokens
Input	$0.0135
Output	$0.00

Example

from openai import OpenAI

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

response = client.embeddings.create(
    model="bge-m3",
    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