Specialist modelActive
Voyage Rerank 3 Lite
Voyage AI
- Released
- September 1, 2026
- Data date
- October 7, 2026
Voyage Rerank 3 Lite brings the third Rerank generation's updated backbone and training-data mix to latency-sensitive applications. It scores candidate documents by their relevance to a search query.
The active release began on September 29 after a preview from September 1, 2026. Its API shape and context limit match Rerank 3, with a lower token price.
Specifications and access
| Specification | Value and source |
|---|---|
| API model ID | rerank-3-liteSource |
| Lifecycle | Preview from September 1, active from September 29, 2026Source |
| Input modalities | Text query and list of text documentsSource |
| Output modalities | Documents sorted by descending relevance scores, not embedding vectorsSource |
| Context window | 32,000 tokensSource |
| Focus | Lower latency and price with the same API and context limit as Rerank 3Source |
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Measurements without matching peer values
These measurements have no matching peer values under the same test conditions. Their original values and sources remain available here.
Voyage Rerank 3 pipeline, 9-domain average, first stage voyage-3-large (Show measurement, test conditions, and source)
- Source value
- 86.3
- Score
- 86.3
- Metric
- NDCG@10
- Unit
- %
- Benchmark version
- Voyage standard retrieval suite, 95 datasets
- Category
- 9-domain average retrieval
- Direction
- Higher is better
- Source type
- vendor-reported
- Evaluator
- Voyage AI public Rerank 3 evaluation spreadsheet
- Status
- active
- Retrieved at
- 2026-10-07
- Methodology
- Vendor-reported result. Pipeline result with first-stage search voyage-3-large and Voyage reranker rerank-3-lite. Up to 100 candidate documents per query were reranked to the top 10; NDCG@10. The suite contains 95 datasets across nine domains. This is not a standalone reranker score.
- Context
- The publisher measures the two-stage pipeline. The result depends on the named first-stage candidate retriever and is not a standalone reranker score.
Voyage Rerank 3 pipeline, Technical documentation, first stage voyage-3-large (Show measurement, test conditions, and source)
- Source value
- 91.09
- Score
- 91.09
- Metric
- NDCG@10
- Unit
- %
- Benchmark version
- Voyage standard retrieval suite, 95 datasets
- Category
- Technical documentation retrieval
- Direction
- Higher is better
- Source type
- vendor-reported
- Evaluator
- Voyage AI public Rerank 3 evaluation spreadsheet
- Status
- active
- Retrieved at
- 2026-10-07
- Methodology
- Vendor-reported result. Pipeline result with first-stage search voyage-3-large and Voyage reranker rerank-3-lite. Up to 100 candidate documents per query were reranked to the top 10; NDCG@10. The suite contains 95 datasets across nine domains. This is not a standalone reranker score.
- Context
- The publisher measures the two-stage pipeline. The result depends on the named first-stage candidate retriever and is not a standalone reranker score.
Voyage Rerank 3 pipeline, Web reviews, first stage voyage-3-large (Show measurement, test conditions, and source)
- Source value
- 76.57
- Score
- 76.57
- Metric
- NDCG@10
- Unit
- %
- Benchmark version
- Voyage standard retrieval suite, 95 datasets
- Category
- Web reviews retrieval
- Direction
- Higher is better
- Source type
- vendor-reported
- Evaluator
- Voyage AI public Rerank 3 evaluation spreadsheet
- Status
- active
- Retrieved at
- 2026-10-07
- Methodology
- Vendor-reported result. Pipeline result with first-stage search voyage-3-large and Voyage reranker rerank-3-lite. Up to 100 candidate documents per query were reranked to the top 10; NDCG@10. The suite contains 95 datasets across nine domains. This is not a standalone reranker score.
- Context
- The publisher measures the two-stage pipeline. The result depends on the named first-stage candidate retriever and is not a standalone reranker score.
Voyage Rerank 3 pipeline, Code, first stage voyage-3-large (Show measurement, test conditions, and source)
- Source value
- 83.42
- Score
- 83.42
- Metric
- NDCG@10
- Unit
- %
- Benchmark version
- Voyage standard retrieval suite, 95 datasets
- Category
- Code retrieval
- Direction
- Higher is better
- Source type
- vendor-reported
- Evaluator
- Voyage AI public Rerank 3 evaluation spreadsheet
- Status
- active
- Retrieved at
- 2026-10-07
- Methodology
- Vendor-reported result. Pipeline result with first-stage search voyage-3-large and Voyage reranker rerank-3-lite. Up to 100 candidate documents per query were reranked to the top 10; NDCG@10. The suite contains 95 datasets across nine domains. This is not a standalone reranker score.
- Context
- The publisher measures the two-stage pipeline. The result depends on the named first-stage candidate retriever and is not a standalone reranker score.
Voyage Rerank 3 pipeline, Medical, first stage voyage-3-large (Show measurement, test conditions, and source)
- Source value
- 86.44
- Score
- 86.44
- Metric
- NDCG@10
- Unit
- %
- Benchmark version
- Voyage standard retrieval suite, 95 datasets
- Category
- Medical retrieval
- Direction
- Higher is better
- Source type
- vendor-reported
- Evaluator
- Voyage AI public Rerank 3 evaluation spreadsheet
- Status
- active
- Retrieved at
- 2026-10-07
- Methodology
- Vendor-reported result. Pipeline result with first-stage search voyage-3-large and Voyage reranker rerank-3-lite. Up to 100 candidate documents per query were reranked to the top 10; NDCG@10. The suite contains 95 datasets across nine domains. This is not a standalone reranker score.
- Context
- The publisher measures the two-stage pipeline. The result depends on the named first-stage candidate retriever and is not a standalone reranker score.
Voyage Rerank 3 pipeline, Conversation, first stage voyage-3-large (Show measurement, test conditions, and source)
- Source value
- 94.12
- Score
- 94.12
- Metric
- NDCG@10
- Unit
- %
- Benchmark version
- Voyage standard retrieval suite, 95 datasets
- Category
- Conversation retrieval
- Direction
- Higher is better
- Source type
- vendor-reported
- Evaluator
- Voyage AI public Rerank 3 evaluation spreadsheet
- Status
- active
- Retrieved at
- 2026-10-07
- Methodology
- Vendor-reported result. Pipeline result with first-stage search voyage-3-large and Voyage reranker rerank-3-lite. Up to 100 candidate documents per query were reranked to the top 10; NDCG@10. The suite contains 95 datasets across nine domains. This is not a standalone reranker score.
- Context
- The publisher measures the two-stage pipeline. The result depends on the named first-stage candidate retriever and is not a standalone reranker score.
Voyage Rerank 3 pipeline, Law, first stage voyage-3-large (Show measurement, test conditions, and source)
- Source value
- 77.64
- Score
- 77.64
- Metric
- NDCG@10
- Unit
- %
- Benchmark version
- Voyage standard retrieval suite, 95 datasets
- Category
- Law retrieval
- Direction
- Higher is better
- Source type
- vendor-reported
- Evaluator
- Voyage AI public Rerank 3 evaluation spreadsheet
- Status
- active
- Retrieved at
- 2026-10-07
- Methodology
- Vendor-reported result. Pipeline result with first-stage search voyage-3-large and Voyage reranker rerank-3-lite. Up to 100 candidate documents per query were reranked to the top 10; NDCG@10. The suite contains 95 datasets across nine domains. This is not a standalone reranker score.
- Context
- The publisher measures the two-stage pipeline. The result depends on the named first-stage candidate retriever and is not a standalone reranker score.
Voyage Rerank 3 pipeline, Finance, first stage voyage-3-large (Show measurement, test conditions, and source)
- Source value
- 88.66
- Score
- 88.66
- Metric
- NDCG@10
- Unit
- %
- Benchmark version
- Voyage standard retrieval suite, 95 datasets
- Category
- Finance retrieval
- Direction
- Higher is better
- Source type
- vendor-reported
- Evaluator
- Voyage AI public Rerank 3 evaluation spreadsheet
- Status
- active
- Retrieved at
- 2026-10-07
- Methodology
- Vendor-reported result. Pipeline result with first-stage search voyage-3-large and Voyage reranker rerank-3-lite. Up to 100 candidate documents per query were reranked to the top 10; NDCG@10. The suite contains 95 datasets across nine domains. This is not a standalone reranker score.
- Context
- The publisher measures the two-stage pipeline. The result depends on the named first-stage candidate retriever and is not a standalone reranker score.
Voyage Rerank 3 pipeline, Long documents, first stage voyage-3-large (Show measurement, test conditions, and source)
- Source value
- 92.46
- Score
- 92.46
- Metric
- NDCG@10
- Unit
- %
- Benchmark version
- Voyage standard retrieval suite, 95 datasets
- Category
- Long documents retrieval
- Direction
- Higher is better
- Source type
- vendor-reported
- Evaluator
- Voyage AI public Rerank 3 evaluation spreadsheet
- Status
- active
- Retrieved at
- 2026-10-07
- Methodology
- Vendor-reported result. Pipeline result with first-stage search voyage-3-large and Voyage reranker rerank-3-lite. Up to 100 candidate documents per query were reranked to the top 10; NDCG@10. The suite contains 95 datasets across nine domains. This is not a standalone reranker score.
- Context
- The publisher measures the two-stage pipeline. The result depends on the named first-stage candidate retriever and is not a standalone reranker score.
Voyage Rerank 3 pipeline, 9-domain average, first stage voyage-4-large (Show measurement, test conditions, and source)
- Source value
- 86.45
- Score
- 86.45
- Metric
- NDCG@10
- Unit
- %
- Benchmark version
- Voyage standard retrieval suite, 95 datasets
- Category
- 9-domain average retrieval
- Direction
- Higher is better
- Source type
- vendor-reported
- Evaluator
- Voyage AI public Rerank 3 evaluation spreadsheet
- Status
- active
- Retrieved at
- 2026-10-07
- Methodology
- Vendor-reported result. Pipeline result with first-stage search voyage-4-large and Voyage reranker rerank-3-lite. Up to 100 candidate documents per query were reranked to the top 10; NDCG@10. The suite contains 95 datasets across nine domains. This is not a standalone reranker score.
- Context
- The publisher measures the two-stage pipeline. The result depends on the named first-stage candidate retriever and is not a standalone reranker score.
Voyage Rerank 3 pipeline, Technical documentation, first stage voyage-4-large (Show measurement, test conditions, and source)
- Source value
- 91.13
- Score
- 91.13
- Metric
- NDCG@10
- Unit
- %
- Benchmark version
- Voyage standard retrieval suite, 95 datasets
- Category
- Technical documentation retrieval
- Direction
- Higher is better
- Source type
- vendor-reported
- Evaluator
- Voyage AI public Rerank 3 evaluation spreadsheet
- Status
- active
- Retrieved at
- 2026-10-07
- Methodology
- Vendor-reported result. Pipeline result with first-stage search voyage-4-large and Voyage reranker rerank-3-lite. Up to 100 candidate documents per query were reranked to the top 10; NDCG@10. The suite contains 95 datasets across nine domains. This is not a standalone reranker score.
- Context
- The publisher measures the two-stage pipeline. The result depends on the named first-stage candidate retriever and is not a standalone reranker score.
Voyage Rerank 3 pipeline, Web reviews, first stage voyage-4-large (Show measurement, test conditions, and source)
- Source value
- 77.28
- Score
- 77.28
- Metric
- NDCG@10
- Unit
- %
- Benchmark version
- Voyage standard retrieval suite, 95 datasets
- Category
- Web reviews retrieval
- Direction
- Higher is better
- Source type
- vendor-reported
- Evaluator
- Voyage AI public Rerank 3 evaluation spreadsheet
- Status
- active
- Retrieved at
- 2026-10-07
- Methodology
- Vendor-reported result. Pipeline result with first-stage search voyage-4-large and Voyage reranker rerank-3-lite. Up to 100 candidate documents per query were reranked to the top 10; NDCG@10. The suite contains 95 datasets across nine domains. This is not a standalone reranker score.
- Context
- The publisher measures the two-stage pipeline. The result depends on the named first-stage candidate retriever and is not a standalone reranker score.
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Published prices
- Processed-token price
- $0.02 per 1M processed tokens; billing counts query tokens per document plus all document tokens. The first 200M tokens are free.Source