Cohere

Cohere is a Canadian enterprise AI company founded in Toronto in 2019 by Aidan Gomez and others, including authors of the Transformer paper, offering private, customizable LLM services for businesses. It is known for secure private deployment and custom models, ranking among the world's most valuable enterprise AI unicorns. On AI, Cohere builds the Command family of enterprise LLMs, including Command R+ and its latest flagship Command A, alongside retrieval-augmented generation and Embed models.

AI Tools

AI Models

Command A+ is Cohere's flagship model for enterprise agentic workflows. It accepts text and image inputs with a 192K context window, supports native tool calling with strict tool schemas, structured outputs (JSON object and JSON schema), optional reasoning, and configurable safety modes.

Context
192K
Max output
-
Released
2026-09-22
Input
$0.3 /M
Output
$1.5 /M

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 required, and state of the art performance with low latency.

Context
32.8K
Max output
-
Released
2026-04-06

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 required, and high performance with lowest latency.

Context
32.8K
Max output
-
Released
2026-04-06

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 pipelines.

Context
4.1K
Max output
-
Released
2026-04-05

Command A

Cohere

Command A is an open-weights 111B parameter model with a 256k context window focused on delivering great performance across agentic, multilingual, and coding use cases. Compared to other leading proprietary and open-weights models Command A delivers maximum performance with minimum hardware costs, excelling on business-critical agentic and multilingual tasks.

Context
256K
Max output
-
Released
2025-03-13
Input
$2.5 /M
Output
$10 /M

Command R7B (12-2024) is a small, fast update of the Command R+ model, delivered in December 2024. It excels at RAG, tool use, agents, and similar tasks requiring complex reasoning and multiple steps. Use of this model is subject to Cohere's Usage Policy and SaaS Agreement.

Context
128K
Max output
-
Released
2024-12-14
Input
$0.0375 /M
Output
$0.15 /M

command-r-08-2024 is an update of the Command R with improved performance for multilingual retrieval-augmented generation (RAG) and tool use. More broadly, it is better at math, code and reasoning and is competitive with the previous version of the larger Command R+ model. Read the launch post here. Use of this model is subject to Cohere's Usage Policy and SaaS Agreement.

Context
128K
Max output
-
Released
2024-08-30
Input
$0.15 /M
Output
$0.6 /M

command-r-plus-08-2024 is an update of the Command R+ with roughly 50% higher throughput and 25% lower latencies as compared to the previous Command R+ version, while keeping the hardware footprint the same. Read the launch post here. Use of this model is subject to Cohere's Usage Policy and SaaS Agreement.

Context
128K
Max output
-
Released
2024-08-30
Input
$2.5 /M
Output
$10 /M

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