{"slug":"voyage-rerank","name":"Voyage Rerank","domain":"voyageai.com","verdict":"As of 2026-07-15, ChatGPT, Claude, Gemini, Grok collectively rank Voyage Rerank #2 of 8 for reranking model api. Source: https://modelsagree.com/product/voyage-rerank (modelsagree.com, CC BY 4.0).","best_rank":2,"categories":1,"brief":{"category":"best-reranking-model-api","title":"Best reranking model API","rank":2,"of":8,"top":"Cohere Rerank","day":"2026-07-17","why":[{"t":"instruction-following reranking","m":["ChatGPT","Claude","Gemini"],"q":"instruction-following reranking"},{"t":"longer context","m":["ChatGPT","Claude","Grok"],"q":"much longer context per document"},{"t":"complex/domain-heavy retrieval","m":["ChatGPT","Gemini","Grok"],"q":"excels on complex/domain-heavy retrieval (finance, legal)"},{"t":"near-tie on quality","m":["ChatGPT","Claude","Gemini"],"q":"Near-tie with Cohere on quality"}],"gap":[{"t":"widest enterprise availability","m":["ChatGPT","Claude","Gemini"],"q":"the widest enterprise availability"},{"t":"automatic long-document chunking","m":["ChatGPT"],"q":"automatic long-document chunking"},{"t":"dedicated low-latency fast tier","m":["ChatGPT","Gemini"],"q":"has a dedicated low-latency fast tier"}],"fix":[{"t":"fewer integrations","m":["ChatGPT","Claude","Gemini"],"q":"fewer native vector database integrations"},{"t":"robust multilingual support","m":["Gemini"],"q":"Lacks robust multilingual support"},{"t":"cut latency and per-query costs","m":["Grok"],"q":"Cut p99 latency and per-query costs"}]},"entries":[{"slug":"best-reranking-model-api","title":"Best reranking model API","rank":2,"of":8,"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","reasons":[{"model":"ChatGPT","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"},{"model":"Claude","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"},{"model":"Gemini","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."},{"model":"Grok","reason":"Highest relevance lift in many independent RAG tests; longest context (16k tokens); excels on complex/domain-heavy retrieval (finance, legal)."}],"fixes":[{"model":"ChatGPT","fix":"Smaller deployment and integration ecosystem than Cohere, making it less convenient for enterprises standardizing through multiple clouds and established search platforms"},{"model":"Claude","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"},{"model":"Gemini","fix":"Lacks robust multilingual support and has fewer native vector database integrations."},{"model":"Grok","fix":"Cut p99 latency and per-query costs to win high-volume real-time workloads."}],"updated":"2026-07-15","rank_history":{"days":["2026-06-29","2026-06-30","2026-07-08","2026-07-09","2026-07-10","2026-07-14","2026-07-15"],"ranks":[2,2,2,2,3,3,2]},"api":"https://modelsagree.com/api/v1/best/best-reranking-model-api.json"}],"page":"https://modelsagree.com/product/voyage-rerank","check":"https://modelsagree.com/check?q=Voyage%20Rerank","updated":"2026-08-10T18:18:45.051Z","attribution":"modelsagree.com, CC BY 4.0"}