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
- 1GPT #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
- 2GPT #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
- 3GPT #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.
- 4GPT —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
- 5GPT #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
- 6GPT #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
- 7GPT —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.
- 8GPT —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.
- 9GPT —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
By model
ChatGPT
- 1.Cohere Rerank
- 2.Voyage Rerank
- 3.Jina Reranker
- 4.Pinecone Rerank
- 5.Mixedbread Rerank
Claude
- 1.Cohere Rerank
- 2.Voyage Rerank
- 3.Jina Reranker
- 4.ZeroEntropy Reranker
- 5.Mixedbread Rerank
Gemini
- 1.Cohere Rerank
- 2.Jina Reranker
- 3.Voyage Rerank
- 4.Qwen3-Reranker
- 5.BGE-Reranker
Grok
- 1.Cohere Rerank
- 2.Voyage Rerank
- 3.Jina Reranker
- 4.ZeroEntropy Reranker
- 5.NVIDIA NeMo Reranker
Tracked by ModelsAgree · rank 1 = 5 pts … rank 5 = 1 pt · re-polled continuously