BGE Reranker V2 M3

Released
2024-03-18
Last refreshed
2026-06-29
Status
Researched 133d ago
Open sourceCommercial use: permitted
Specifications
Family
BGE
Released
2024-03-18
Context
8k
Parameters
568M
Architecture
Encoder Only
Specialization
general
Openness
Open source
License
MITOSI-approvedCommercial use: permitted
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 1 route · Novita AI

About

BGE Reranker V2 M3 is BAAI's lightweight multilingual cross-encoder reranking model from the FlagEmbedding project, based on the BGE-M3 backbone. Accepts query-passage pairs and outputs direct relevance scores. Supports multi-lingual processing with 568 million parameters. Part of the BGE reranker v2 series released March 2024 alongside LLM-based rerankers.

Provider price ladder

Compare API pricing across 1 providers for input and output tokens, batch, and cached reads when available.

ProviderInput / 1MOutput / 1MRoute
Novita AI$0.010-
ServerlessPartial

Capabilities

No model capability flags are currently sourced.

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