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Best reranking model API

4 models · updated 2026-07-09

The verdict

Cohere Rerank leads — All 4 models rank Cohere Rerank the top pick.

Combined ranking

  1. 1
    Cohere Rerankincumbent20 pts
    GPT #1Claude #1Gemini #1Grok #1

    Best all-around production reranker: strong relevance quality, 100+ language support, structured/semi-structured data handling, mature SDKs, enterprise deployment paths, and broad RAG ecosystem support

    To stay #1 Lower latency and price enough that it is the default choice for high-volume consumer search, not just quality-critical reranking

  2. 2
    Voyage Rerank15 pts
    GPT #2Claude #2Gemini #3Grok #2

    Excellent retrieval quality, 32k context, instruction-following, multilingual support, and strong fit for long-document RAG pipelines

    To rank higher Build a broader enterprise/integration ecosystem so it feels as operationally proven as Cohere

  3. 3
    Jina Reranker13 pts
    GPT #3Claude #3Gemini #2Grok #3

    Advanced listwise reranking model with a massive 131k context window, multimodal capabilities, and optimization for agentic workflows.

    To rank higher Optimize query latency for high-throughput, small-document use cases.

  4. 4
    GPT Claude #4Gemini Grok #4

    A newer entrant that punches above its weight — beats larger incumbents on several public benchmarks at a fraction of the price, with a small open-weight variant and a developer-friendly API

    To rank higher Prove enterprise readiness (SLAs, compliance certifications, multi-cloud deployment) so bigger teams can bet on it

  5. 5
    GPT #5Claude #5Gemini Grok

    Strong open-model reputation, practical developer pricing, good quality for classic cross-encoder reranking, and attractive self-hosting/API flexibility

    To rank higher Improve hosted API maturity, documentation, uptime signals, and enterprise features to compete with Cohere, Voyage, and Jina

  6. 6
    Pinecone Rerankincumbentnew2 pts
    GPT #4Claude Gemini Grok

    Very convenient if your retrieval stack is already in Pinecone, with integrated and standalone reranking, hosted bge-reranker-v2-m3, Cohere rerank support, and simple operational plumbing

    To rank higher Offer a best-in-class proprietary reranker with longer context and stronger accuracy instead of mostly being an integration layer

  7. 7
    GPT Claude Gemini #4Grok

    Leading open-weights performance with a 32k context window and accessible pricing through public API endpoints.

    To rank higher Enhance native performance on languages other than English and Chinese.

  8. 8
    BGE-Rerankernew1 pts
    GPT Claude Gemini #5Grok

    Highly popular, efficient open-source cross-encoder baseline that is widely supported across hosting providers.

    To rank higher Add native support for listwise ranking and longer context windows.

  9. 9
    GPT Claude Gemini Grok #5

    Strong QA-focused retrieval accuracy with major cost/efficiency gains via NIM microservices; purpose-built for production RAG pipelines.

    To rank higher Offer seamless deployment and API access outside NVIDIA hardware/ecosystem for broader adoption.

Rank history

123456706-2906-3007-0807-09Cohere RerankVoyage RerankJina RerankerZeroEntropy RerankerMixedbread RerankPinecone RerankQwen3-RerankerBGE-Reranker
Cohere Rerank#1Voyage Rerank#2Jina Reranker#3ZeroEntropy Reranker#4Mixedbread Rerank#5Pinecone Rerank#5Qwen3-Reranker#6BGE-Reranker#7

By model

ChatGPT

  1. 1.Cohere Rerank
  2. 2.Voyage Rerank
  3. 3.Jina Reranker
  4. 4.Pinecone Rerank
  5. 5.Mixedbread Rerank

Claude

  1. 1.Cohere Rerank
  2. 2.Voyage Rerank
  3. 3.Jina Reranker
  4. 4.ZeroEntropy Reranker
  5. 5.Mixedbread Rerank

Gemini

  1. 1.Cohere Rerank
  2. 2.Jina Reranker
  3. 3.Voyage Rerank
  4. 4.Qwen3-Reranker
  5. 5.BGE-Reranker

Grok

  1. 1.Cohere Rerank
  2. 2.Voyage Rerank
  3. 3.Jina Reranker
  4. 4.ZeroEntropy Reranker
  5. 5.NVIDIA NeMo Reranker

Tracked by ModelsAgree · rank 1 = 5 pts … rank 5 = 1 pt · re-polled continuously