bge-m3-multi-8k

embedmit

BGE-M3 is a multilingual text embedding model developed by BAAI, distinguished by its Multi-Linguality (supporting 100+ languages), Multi-Functionality (unified dense, multi-vector, and sparse retrieval), and Multi-Granularity (handling inputs from short queries to long documents). It achieves state-of-the-art retrieval performance across diverse benchmarks while maintaining a single model for multiple retrieval modes. This endpoint serves the model's full 8192-token context.

Capabilities

Infrastructure
Streaming
Fine-tuning

Details

Model IDBAAI/bge-m3-multi-8k
Provider DeepInfra
Creator baai
Family—
Licensemit
Statusactive
Typeembed
Input modalitiestext
Output modalitiesembedding
Open weightYes
Parameters—
Architecture—
Context window—
Max input—
Max output—
Reasoning tokens—
Knowledge cutoff—
Release date—
Sourceofficial

Endpoints

EmbeddingsPOST
Generate vector embeddings for texthttps://api.deepinfra.com/v1/openai/v1/embeddings

API

GET/v1/models/deepinfra/BAAI/bge-m3-multi-8k

bge-m3-multi-8k

BAAI/bge-m3-multi-8k

BGE-M3 is a multilingual text embedding model developed by BAAI, distinguished by its Multi-Linguality (supporting 100+ languages), Multi-Functionality (unified dense, multi-vector, and sparse retrieval), and Multi-Granularity (handling inputs from short queries to long documents). It achieves state-of-the-art retrieval performance across diverse benchmarks while maintaining a single model for multiple retrieval modes. This endpoint serves the model's full 8192-token context.

Changes · 2 entries
BAAI/bge-m3-multi-8kcreateca7a400Nov 2, 2026, 03:02 AM
BAAI/bge-m3-multi-8kcreate0d4ae28Sep 4, 2026, 06:37 AM