{"slug":"jina-embeddings","name":"Jina Embeddings","domain":"jina.ai","verdict":"As of 2026-07-13, ChatGPT, Claude, Gemini, Grok collectively rank Jina Embeddings #6 of 7 for embeddings model api (one of 2 leaderboards it appears on). Source: https://modelsagree.com/product/jina-embeddings (modelsagree.com, CC BY 4.0).","best_rank":6,"categories":2,"entries":[{"slug":"best-embeddings-model-api","title":"Best embeddings model API","rank":6,"of":7,"score":3,"appearances":2,"modelRanks":{"ChatGPT":4,"Grok":5},"reason":"Outstanding efficiency: near-frontier multilingual retrieval from a 677M-parameter model, 32K context, task-specific adapters, robust dimension truncation, and both hosted-API and self-hosting paths","reasons":[{"model":"ChatGPT","reason":"Outstanding efficiency: near-frontier multilingual retrieval from a 677M-parameter model, 32K context, task-specific adapters, robust dimension truncation, and both hosted-API and self-hosting paths"},{"model":"Grok","reason":"Outstanding value with long-document handling, competitive benchmarks at low cost, and strong open/API hybrid options"}],"fixes":[{"model":"ChatGPT","fix":"CC BY-NC licensing restricts commercial self-hosting without separate terms"},{"model":"Grok","fix":"Enhance overall retrieval leadership and multimodal depth to overtake specialists"}],"updated":"2026-07-13","rank_history":{"days":["2026-06-29","2026-06-30","2026-07-08","2026-07-09","2026-07-10","2026-07-12","2026-07-13"],"ranks":[9,7,6,8,null,8,9]},"api":"https://modelsagree.com/api/v1/best/best-embeddings-model-api.json"},{"slug":"best-long-context-embedding-apis-for-document-rag","title":"Best long-context embedding APIs for document RAG","rank":9,"of":15,"score":3,"appearances":1,"modelRanks":{"Claude":3},"reason":"The best open-weight long-context option — 8K+ context with \"late chunking\" that preserves cross-chunk context, task-specific LoRA adapters (retrieval/classification/separation), Matryoshka dims, and both an API and Apache/open weights you can self-host. Top pick when you need long-context quality but must own the model or control cost.","reasons":[{"model":"Claude","reason":"The best open-weight long-context option — 8K+ context with \"late chunking\" that preserves cross-chunk context, task-specific LoRA adapters (retrieval/classification/separation), Matryoshka dims, and both an API and Apache/open weights you can self-host. Top pick when you need long-context quality but must own the model or control cost."}],"fixes":[{"model":"Claude","fix":"Retrieval quality trails Voyage/Cohere at the top end, and self-hosting the larger variants demands real GPU/MLOps effort — you're trading peak accuracy and a managed SLA for control."}],"updated":"2026-08-10","api":"https://modelsagree.com/api/v1/best/best-long-context-embedding-apis-for-document-rag.json"}],"page":"https://modelsagree.com/product/jina-embeddings","check":"https://modelsagree.com/check?q=Jina%20Embeddings","updated":"2026-08-10T18:18:45.051Z","attribution":"modelsagree.com, CC BY 4.0"}