Cohere モデルファミリー

North Mini Code is Cohere's first agentic coding model and the debut of its North family. A sparse mixture-of-experts model with 30B total parameters and 3B active, it is optimized…

コンテキスト

256K

入力

$0.00

出力

$0.00

Cohere's AI search foundation model for enhancing the relevance of information surfaced within search and RAG systems. Features a 32K context window, multilingual support across 100+ languages, no data pre-processing…

コンテキスト

33K

入力

$0.00

出力

$0.00

Cohere's AI search foundation model for enhancing the relevance of information surfaced within search and RAG systems. Features a 32K context window, multilingual support across 100+ languages, no data pre-processing…

コンテキスト

33K

入力

$0.00

出力

$0.00

Rerank v3.5 is designed to reorder search results for improved relevance. It supports multi-aspect and semi-structured data reranking over 100+ languages. Ideal for refining results from semantic or keyword search…

コンテキスト

4K

入力

$0.00

出力

$0.00