BGE M3

Released
2024-01-27
Last refreshed
2026-06-29
Status
Researched 180d ago
Open sourceCommercial use: permitted
Specifications
Family
BGE
Released
2024-01-27
Context
8K
Parameters
568M
Architecture
Encoder Only
Specialization
embedding
Openness
Open source
License
MITOSI-approvedPermitted
Weights
Available
Code
Unknown
Training
Pretrained
Created by

Open-source AI fostering global collaboration

Beijing, China
Founded 2018
Website
Pricing
Output / 1M
-
Input / 1M
$0.010

Cheapest of 2 routes · Novita AI

About

BGE-M3 is BAAI's flagship multilingual embedding model that simultaneously performs dense retrieval, sparse (lexical) retrieval, and multi-vector (ColBERT-style) retrieval. It covers 100+ languages with an 8,192-token context window — far longer than most embedding models — making it effective for both short queries and long documents. Built on an extended XLM-RoBERTa architecture, it achieves state-of-the-art results on the MKQA and MLDR multilingual retrieval benchmarks and is available via NVIDIA NIM.

Providers(2)

Compare all 2

Compare API pricing across 2 tracked provider routes for input and output tokens, batch, and cached reads when available.

ProviderInput / 1MOutput / 1MRoute
Novita AI$0.010-
ServerlessPartial
Cloudflare Workers AI$0.012-
ServerlessPartial

Capabilities

No model capability flags are currently sourced.

Benchmark peer barsfor Coding

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