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bge-reranker-base

Different from embedding model, reranker uses question and document as input and directly output similarity instead of embedding. You can get a relevance score by inputting query and passage to the reranker. And the score can be mapped to a float value in [0,1] by sigmoid function.

Best for

Bulk Data ExtractionHigh-Volume Tasks
Context Window
Input Cost
$0.00/1M
Output Cost
Latency p50

Pricing Details

Standard Pricing
Input (per 1M tokens)
$0.00
Output (per 1M tokens)
$0.00

Price history

6/10/2026$0.00 in / $0.00 out
6/10/2026$0.00 in / $0.00 out
6/10/2026$0.00 in / $0.00 out
6/9/2026$0.00 in / $0.00 out
6/9/2026$0.00 in / $0.00 out

Hallucination Score™ (est.)

Community reliability estimate · not official

Not yet rated

About this score: Community-estimated based on user reports and publicly available benchmark data (e.g. TruthfulQA). This is not an official score from the model provider. Scores may be inaccurate — always verify with the official leaderboard before making production decisions.

Price HistoryPro

Input & output cost per 1M tokens over time

Price history is a Pro feature

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Provider

baai

Community Prompts

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bge-reranker-base — modelstop.top