Model comparison
Cohere Rerank 4 Pro vs Jina Reranker v3.5
Compare Cohere Rerank 4 Pro and Jina Reranker v3.5 using the same provider-sourced reranking & retrieval rubric. No mystery score and no invented benchmark ranking.
Model comparison
Compare Cohere Rerank 4 Pro and Jina Reranker v3.5 using the same provider-sourced reranking & retrieval rubric. No mystery score and no invented benchmark ranking.
Quick take
Cohere's quality-first reranker for improving search and RAG results across multilingual text and semi-structured JSON.
One billing unit includes up to 100 documents, not the endpoint's full 10,000-document request limit. Long documents can become several billable chunks.
Jina's compact listwise reranker for long, multilingual, structured, legal, financial, and domain-specific candidate sets.
The open-weight license is non-commercial, not Apache or MIT. Provider latency figures use specific A100 test setups and should not be treated as your production SLA.
Compare the published facts
Values use each provider's own published units and limits. A blank means the provider did not publish a directly comparable value in the sources reviewed.
| Reranking & retrieval | Cohere Rerank 4 Pro | Jina Reranker v3.5 |
|---|---|---|
| Price basisThe provider's billing unit, with the document or token assumptions needed to compare it fairly. | $2.50 / 1K searches; up to 100 docs per unit | Token packages; no single public dollar rate |
| Text capacityHow much query and candidate text the model can consider in one scoring pass. | 32,768 tokens per query-document pass | 131K tokens shared by query and candidates |
| Candidates per requestThe maximum number of possible results accepted in one request, when the provider publishes it. | Up to 10,000 documents per request | No fixed count published; bounded by shared context |
| Language coveragePublished multilingual support; an exact count is shown only when the provider gives one. | Multilingual; exact count not published | 93 supported; trained on 24 |
| Structured dataWhether the model is documented for JSON, tables, XML, or other data beyond normal prose. | Text and semi-structured JSON | Tables, JSON, XML, legal and domain text |
| Where it runsHosted API, cloud marketplace, private deployment, or self-hosted weights. | Cohere API; enterprise private and cloud options | Jina API, Elastic, clouds, Hugging Face, air-gapped |
How to choose
Start with the job you need to complete, then validate cost, access, and policy details on your exact provider route.
Cohere enterprise customers can opt out of training; SaaS prompts and generations are generally deleted after 30 days. Approved zero-data-retention accounts and private or third-party deployments offer stronger controls.
Provider and API links
Self-hosted and air-gapped deployments keep request data inside infrastructure you control. The reviewed hosted API pages do not state a complete retention or training-use commitment, so confirm Jina or Elastic terms for sensitive search data.
Frequently asked questions
Cohere Rerank 4 Pro: Cohere's quality-first reranker for improving search and RAG results across multilingual text and semi-structured JSON. Jina Reranker v3.5: Jina's compact listwise reranker for long, multilingual, structured, legal, financial, and domain-specific candidate sets.
Consider Cohere Rerank 4 Pro when your priority is High-value enterprise search. Consider Jina Reranker v3.5 when your priority is Long candidate lists that benefit from listwise comparison. Test both with your own data and provider route before committing.
No. This comparison aligns provider-published facts for the Reranking & retrieval category. It does not claim a universal winner or combine incompatible third-party benchmark scores.