Best Reranking Models in 2026
Cross-encoder rerankers that boost RAG precision after vector retrieval.
Updated
How we ranked
- BEIR rerank scores
- Latency on 100-document candidate sets
- Multilingual coverage
- Cost per rerank call
- Integration ease (Pinecone, Vespa, etc.)
Read the full methodology for our sourcing and ranking standards.
A reranker is the cheapest way to make a mediocre RAG pipeline meaningfully better. Vector search is fast but coarse; a cross-encoder rerank on the top 50 candidates lifts precision dramatically.
Cohere's Rerank v3 is the de-facto leader; Voyage AI's rerank is comparable. Open-weight options (BGE-Reranker-V2, ms-marco) are usable for self-hosting and cheap at scale.
Always evaluate end-to-end. A reranker that improves nDCG by 3 points may not change downstream QA accuracy at all if the original top-5 already contained the answer.
This category is currently tracked but has no LLM-tier ranking, the leaders live in the dedicated tools section. See our alternatives index for the full picks.
How to choose
Don't pick on the headline ranking alone. Run your top two picks on a representative sample of your own workload and compare. The numbers in this list are sound, but task-specific quality varies in ways no benchmark fully captures. The criteria above are the right axes to evaluate on, but the weighting depends on your stack.
- Cost-sensitive workloads, start with the cheapest of the top three; escalate only if quality is the bottleneck.
- Privacy-sensitive workloads, filter to open-weight picks above. They're labeled with a green badge.
- Latency-sensitive workloads, see the Fastest LLMs list, which can override task-specific picks.
Frequently asked
How are these rankings determined?
We rank by the criteria listed at the top of this page: BEIR rerank scores; Latency on 100-document candidate sets; Multilingual coverage. Where two models are close, we prefer the one with stronger production deployment evidence at the time of writing. Read the full methodology for our standards.Are open-source models on this list?
Yes where they're competitive. Each entry below shows whether the model ships open weights and under what license.How often is this list updated?
Weekly. New launches that affect the ranking get reflected within seven days. The "last updated" stamp at the top of the page reflects the most recent dataset commit.
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