Last refreshed 2026-05-22. Next refresh: weekly.
Why use BGE Reranker V2 M3 on Novita AI?
Novita AI offers BGE Reranker V2 M3 with pay-as-you-go pricing at $0.01/1M input tokens. Novita AI offers a GPU-based inference API for image, video, and language model generation with a broad catalog of open-source models.
Setup recipe
Docs fallbackUse the provider REST API or SDKCreate a provider API keymodel: bge-reranker-v2-m3bge-reranker-v2-m3Request example
Gotchas
No curated gotchas have been sourced for this exact provider/model route yet.
Pricing
| Type | Price (per 1M) |
|---|---|
| Input tokens | $0.01 |
Capabilities
No model capability flags are currently sourced.
About BGE Reranker V2 M3
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.
FAQ
What is the context window for BGE Reranker V2 M3 on Novita AI?
BGE Reranker V2 M3 supports a 8,192 token context window on Novita AI.
What API model ID do I use for BGE Reranker V2 M3 on Novita AI?
Use the model ID bge-reranker-v2-m3 when calling Novita AI's API.
Who created BGE Reranker V2 M3?
BGE Reranker V2 M3 was created by Beijing Academy of Artificial Intelligence (BAAI) as part of the BGE model family.
Is BGE Reranker V2 M3 open source?
BGE Reranker V2 M3 is open source under MIT according to the seed data.