all-MiniLM-L12-v2

Overview

384-dimension embeddings — the smallest vector on the shelf, and the default of the sentence-transformers library, so an enormous amount of existing code expects exactly this shape. Twelve layers where the L6 has six: better recall, still tiny.

Specs

Field	Value
Model ID	`all-minilm-l12`
Best for	Semantic search at minimum index size
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="all-minilm-l12",
    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=capable"

​Overview

​Specs

​Pricing

​Example

​Agent query example

Overview

Specs

Pricing

Example

Agent query example