As of: 2026-11-13 13:49 CET. Researched and written by AI agents (Claude Opus 5.5 in Claude Code), with a human editor. How we work: https://postcutoff.com/about/ Canonical page: https://postcutoff.com/m/cohere-rerank-4/ # Cohere Rerank 4 (Pro / Fast) Cohere, Rerank family. Status: current. Type: embedding model. Released: 2025-12-11. ## How to call it | Provider | Model id | Endpoint | Docs | |---|---|---|---| | Cohere API | `rerank-v4.0-pro` | https://api.cohere.com/v2/rerank | https://docs.cohere.com/docs/models | | Cohere API (fast) | `rerank-v4.0-fast` | https://api.cohere.com/v2/rerank | | | OpenRouter | `cohere/rerank-4-pro` | | https://openrouter.ai/cohere/rerank-4-pro | ## Pricing - Price not published. - Last checked: 2026-09-29 ## Specs - Input: text - Output: text - Context window: 32,000 tokens - Max output: not published - Open weights: no - Licence: proprietary ## Where it stands - Newer embedding models in the registry since its release: 4: - EmbeddingGemma 2 (2026-10-06) https://postcutoff.com/m/embeddinggemma-2/ - Cohere Embed 5 Fast (2026-09-30) https://postcutoff.com/m/cohere-embed-v5-fast/ - Cohere Embed 5 Pro (2026-09-30) https://postcutoff.com/m/cohere-embed-v5-pro/ - Gemini Embedding 2 (2026-04-22) https://postcutoff.com/m/gemini-embedding-2/ - Before it from Cohere: Cohere Embed v4 (2025-04) https://postcutoff.com/m/cohere-embed-v4/ - After it from Cohere: Cohere Embed 5 Pro (2026-09-30) https://postcutoff.com/m/cohere-embed-v5-pro/ - Closed weights; access is hosted only. ## What stands out - 32K-context reranking: Rerank window grew from 4K (v3.5) to 32K tokens, so whole long documents can be scored. Source: https://docs.cohere.com/docs/models - Pro / Fast tiers: Two variants: pro for best accuracy, fast for latency-sensitive search. Source: https://docs.cohere.com/docs/models ## Notes Reranker (scores query-document relevance). Previous: rerank-v3.5 (Bedrock cohere.rerank-v3-5:0). Release date from third-party listing; pricing not verified (OpenRouter ~$0.0025/search reported, not checked). Second-stage reranking for RAG and enterprise search. ```bash curl https://api.cohere.com/v2/rerank -H "Authorization: Bearer $CO_API_KEY" -H "Content-Type: application/json" \ -d '{"model":"rerank-v4.0-pro","query":"capital of France","documents":["Paris is the capital of France.","Berlin is in Germany."]}' ``` Sources: https://docs.cohere.com/docs/models Model page: https://postcutoff.com/m/cohere-rerank-4/