{"slug":"best-reranking-model-api","title":"Best reranking model API","question":"What are the best reranking model API?","verdict":"As of 2026-07-15, ChatGPT, Claude, Gemini and Grok collectively rank Cohere Rerank #1 for reranking model api on ModelsAgree — a unanimous pick. The models' case: Best all-round production choice: excellent relevance quality, multilingual and structured-data support, 32K context, automatic long-document chunking, mature. The models' main caveat: Closed commercial model; Pro can be slower and costlier than leaner alternatives, so it is not ideal for strict data-sovereignty or self-hosting. The strongest alternative is Voyage Rerank — Near-tied with Cohere on general quality, with instruction-following, multilingual retrieval, 32K context, and especially strong value for. Source: https://modelsagree.com/best/best-reranking-model-api (modelsagree.com, CC BY 4.0).","category":"RAG","url":"https://modelsagree.com/best/best-reranking-model-api","updated":"2026-07-15","models":["ChatGPT","Claude","Gemini","Grok"],"consensus":"All 4 models rank Cohere Rerank the top pick","disagreement":null,"combined":[{"rank":1,"product":"Cohere Rerank","domain":"cohere.com","score":20,"appearances":4,"modelRanks":{"ChatGPT":1,"Claude":1,"Gemini":1,"Grok":1},"reason":"Best all-round production choice: excellent relevance quality, multilingual and structured-data support, 32K context, automatic long-document chunking, mature integrations, and a faster sibling for latency-sensitive workloads"},{"rank":2,"product":"Voyage Rerank","domain":"voyageai.com","score":16,"appearances":4,"modelRanks":{"ChatGPT":2,"Claude":2,"Gemini":2,"Grok":2},"reason":"Near-tied with Cohere on general quality, with instruction-following, multilingual retrieval, 32K context, and especially strong value for sophisticated RAG queries where ranking criteria need to be expressed in the query"},{"rank":3,"product":"Jina Reranker","domain":"jina.ai","score":11,"appearances":4,"modelRanks":{"ChatGPT":3,"Claude":4,"Gemini":3,"Grok":3},"reason":"Exceptional long-context and multilingual option with a 131K listwise architecture, open weights for non-commercial use, and an accessible hosted API; particularly strong for long documents and ranking candidates jointly rather than independently"},{"rank":4,"product":"Mixedbread Rerank","domain":"mixedbread.com","score":4,"appearances":2,"modelRanks":{"ChatGPT":4,"Gemini":4},"reason":"Strong accuracy-per-dollar from a 1.5B multilingual model covering 100+ languages, with open weights and hosted access; a compelling choice when practitioners want API convenience without surrendering a future self-hosting path"},{"rank":5,"product":"Qwen3 Reranker","domain":"anker.com","score":4,"appearances":2,"modelRanks":{"Claude":3,"Gemini":5},"reason":"The strongest open-weights reranker family as of 2026 (0.6B–8B, Apache 2.0), topping multilingual and code retrieval benchmarks; free to self-host and cheap via hosted APIs like DeepInfra or SiliconFlow, making it the best value at scale"},{"rank":6,"product":"ZeroEntropy","domain":"zeroentropy.dev","score":3,"appearances":2,"modelRanks":{"Claude":5,"Grok":4},"reason":"Highest NDCG in vertical benchmarks (finance, healthcare, STEM, regulatory) with double-digit gains vs Cohere; very fast inference; enterprise-focused API with strong compliance and licensing options."},{"rank":7,"product":"BGE Reranker","domain":"anker.com","score":1,"appearances":1,"modelRanks":{"ChatGPT":5},"reason":"Proven multilingual open-source cross-encoder with inexpensive managed serving, broad framework support, and the freedom to self-host; excellent practical value for ordinary short-query, passage-ranking pipelines"},{"rank":8,"product":"NVIDIA NeMo Reranker","domain":"anker.com","score":1,"appearances":1,"modelRanks":{"Grok":5},"reason":"Strong QA-focused retrieval accuracy with major cost/efficiency gains via NIM microservices; purpose-built for production RAG pipelines."}],"perModel":{"ChatGPT":[{"rank":1,"product":"Cohere Rerank","reason":"Best all-round production choice: excellent relevance quality, multilingual and structured-data support, 32K context, automatic long-document chunking, mature integrations, and a faster sibling for latency-sensitive workloads","fix":"Closed commercial model; Pro can be slower and costlier than leaner alternatives, so it is not ideal for strict data-sovereignty or self-hosting requirements"},{"rank":2,"product":"Voyage Rerank","reason":"Near-tied with Cohere on general quality, with instruction-following, multilingual retrieval, 32K context, and especially strong value for sophisticated RAG queries where ranking criteria need to be expressed in the query","fix":"Smaller deployment and integration ecosystem than Cohere, making it less convenient for enterprises standardizing through multiple clouds and established search platforms"},{"rank":3,"product":"Jina Reranker","reason":"Exceptional long-context and multilingual option with a 131K listwise architecture, open weights for non-commercial use, and an accessible hosted API; particularly strong for long documents and ranking candidates jointly rather than independently","fix":"CC-BY-NC licensing limits commercial self-hosting, while listwise processing can produce higher and less predictable latency"},{"rank":4,"product":"Mixedbread Rerank","reason":"Strong accuracy-per-dollar from a 1.5B multilingual model covering 100+ languages, with open weights and hosted access; a compelling choice when practitioners want API convenience without surrendering a future self-hosting path","fix":"Its hosted platform and operational track record are less mature than the leaders, and the more capable instruction-following v3 listwise model remains preview-grade"},{"rank":5,"product":"BGE Reranker","reason":"Proven multilingual open-source cross-encoder with inexpensive managed serving, broad framework support, and the freedom to self-host; excellent practical value for ordinary short-query, passage-ranking pipelines","fix":"The 1,024-token pair limit and older pointwise architecture make it materially weaker for long documents, nuanced instructions, and highest-accuracy workloads"}],"Claude":[{"rank":1,"product":"Cohere Rerank","reason":"Still the default commercial reranker for production RAG — consistently strong cross-domain and multilingual (100+ languages) relevance, dead-simple drop-in API, and the widest enterprise availability (native on AWS Bedrock, Azure AI, SageMaker, plus vector-DB integrations like Pinecone and Weaviate); assumes the typical practitioner values reliability and ecosystem reach over squeezing the last benchmark point","fix":"Closed weights and per-1k-search pricing that gets expensive at high query volume; not for teams needing self-hosting or very long single-document scoring"},{"rank":2,"product":"Voyage Rerank","reason":"Near-tie with Cohere on quality and often beats it on retrieval benchmarks, with much longer context per document, instruction-following reranking, and lower per-token pricing; MongoDB acquisition removed the startup-longevity risk","fix":"Thinner ecosystem — fewer cloud-marketplace and framework integrations than Cohere, and tighter rate limits on new accounts make it less turnkey for enterprise procurement"},{"rank":3,"product":"Qwen3 Reranker","reason":"The strongest open-weights reranker family as of 2026 (0.6B–8B, Apache 2.0), topping multilingual and code retrieval benchmarks; free to self-host and cheap via hosted APIs like DeepInfra or SiliconFlow, making it the best value at scale","fix":"You own the serving problem — latency and throughput tuning of a cross-encoder is on you, and hosted third-party endpoints vary in reliability; not for teams wanting a supported SLA out of the box"},{"rank":4,"product":"Jina Reranker","reason":"Best budget managed API — very cheap, multilingual, strong on code and structured/function-call reranking, with open weights available so you can migrate off the API later; near-tie with Qwen3 for the value slot","fix":"Peak English-retrieval quality sits a notch below Cohere and Voyage flagships, so quality-critical search products usually pay up"},{"rank":5,"product":"ZeroEntropy","reason":"The strongest newcomer — a purpose-built reranker that matches or beats incumbent APIs on public retrieval benchmarks at a fraction of the price, with an Apache-2.0 small variant as an escape hatch","fix":"Young company with a short production track record and minimal enterprise ecosystem; risky as the sole relevance dependency for a large deployment"}],"Gemini":[{"rank":1,"product":"Cohere Rerank","reason":"Provides the industry gold standard for out-of-the-box accuracy, natively supports semi-structured JSON input for complex database fields, and has a dedicated low-latency fast tier. Its top rank assumes the practitioner values zero-ops setup and maximum ecosystem integration over cost control.","fix":"High pay-per-token API costs at scale and is entirely closed-source, making it unsuitable for local data sovereignty."},{"rank":2,"product":"Voyage Rerank","reason":"Offers class-leading instruction-following that lets developers dynamically steer relevance scoring (e.g., focusing on specific metadata). It is in a near-tie with Jina AI for the second spot, earning it due to superior instruction-adherence precision for agentic RAG, assuming an English-centric pipeline.","fix":"Lacks robust multilingual support and has fewer native vector database integrations."},{"rank":3,"product":"Jina Reranker","reason":"Combines a massive 131k token context window with the ability to process up to 64 documents concurrently, using a causal self-attention architecture. It is in a near-tie with Voyage AI, placed third due to slightly lower reasoning performance on complex domain-specific tasks.","fix":"Open-weights deployment requires a commercial license, and the API has higher latency overhead on extremely long contexts."},{"rank":4,"product":"Mixedbread Rerank","reason":"Implements listwise reranking to evaluate candidate documents simultaneously rather than independently, eliminating pairwise biases. Ranked fourth assuming the practitioner wants to balance Apache 2.0 open-weight flexibility with a managed API.","fix":"Has a smaller developer community and less mature third-party framework integration than legacy competitors."},{"rank":5,"product":"Qwen3 Reranker","reason":"The premier open-weights reranking model family of 2026, offering Apache 2.0 licensing, robust performance across 100+ languages, and vision-capable multimodal variants for ranking screenshots and charts.","fix":"High self-hosting operational complexity and resource demands, requiring substantial GPU infrastructure to achieve acceptable latency."}],"Grok":[{"rank":1,"product":"Cohere Rerank","reason":"Best-in-class nDCG on BEIR + enterprise benchmarks (finance, healthcare, manufacturing) after late-2025 release; outperforms Voyage and Jina in head-to-heads; 100+ languages; simplest, most reliable API for RAG/agent pipelines with proven token reduction and accuracy lift.","fix":"Add self-host or on-prem deployment options for data-sovereignty and regulated industries."},{"rank":2,"product":"Voyage Rerank","reason":"Highest relevance lift in many independent RAG tests; longest context (16k tokens); excels on complex/domain-heavy retrieval (finance, legal).","fix":"Cut p99 latency and per-query costs to win high-volume real-time workloads."},{"rank":3,"product":"Jina Reranker","reason":"Lowest latency and highest throughput at scale; best long-context + multimodal (PDF/image) support; flexible API with open weights for customization or self-host hybrids.","fix":"Raise general cross-domain ranking quality to close the gap with Cohere/Voyage leaders."},{"rank":4,"product":"ZeroEntropy","reason":"Highest NDCG in vertical benchmarks (finance, healthcare, STEM, regulatory) with double-digit gains vs Cohere; very fast inference; enterprise-focused API with strong compliance and licensing options.","fix":"Win more decisively on broad public benchmarks beyond custom evals to move from niche leader to overall top 2."},{"rank":5,"product":"NVIDIA NeMo Reranker","reason":"Strong QA-focused retrieval accuracy with major cost/efficiency gains via NIM microservices; purpose-built for production RAG pipelines.","fix":"Offer seamless deployment and API access outside NVIDIA hardware/ecosystem for broader adoption."}]},"missedByModel":{"ChatGPT":[{"product":"ZeroEntropy zerank-2","reason":"promising accuracy and aggressive pricing, but less independently validated and operationally proven than the top five"},{"product":"Pinecone rerank-v0","reason":"convenient and fast inside Pinecone, but its 512-token limit and single-platform availability narrow its usefulness"}],"Claude":[{"product":"BAAI bge-reranker-v2-m3","reason":"the long-time open-source workhorse, but superseded on quality by Qwen3 Reranker and it has no first-party API"},{"product":"Mixedbread Rerank","reason":"excellent open-weights quality but a much smaller API ecosystem and mindshare than the five above"}],"Gemini":[{"product":"BAAI BGE Reranker","reason":"highly efficient and widely supported but struggles with complex reasoning and long-context documents"},{"product":"Vectara Rerank","reason":"integrated exclusively into Vectara's end-to-end platform, preventing modular standalone API usage"}],"Grok":[{"product":"mxbai-rerank","reason":"strong RL-trained open model with managed API but lower visibility and fewer decisive benchmark wins in 2026 comparisons"},{"product":"BGE-reranker-v2-m3","reason":"reliable evergreen open baseline but edged out by newer specialized models and dedicated APIs on latest evals"}]}}