Cohere
✓ VerifiedEnterprise-focused provider of Command and Embed model families.
At a glance
Overview
Cohere is a Canadian enterprise-AI company founded in 2019 by Aidan Gomez, one of the co-authors of the seminal 2017 "Attention Is All You Need" paper that introduced the Transformer architecture, alongside Ivan Zhang and Nick Frosst (both ex-Google Brain).
Enterprise positioning
Unlike consumer-facing rivals, Cohere has focused exclusively on enterprise customers, particularly in regulated industries such as banking, telecommunications, and government. Cohere offers private-deployment options across all major clouds and on-premises.
Models
- Command (2023) — generative LLM family
- Command R / R+ (2024) — RAG-optimised models with strong tool-use
- Command A (2025) — current flagship, 256K context
- Embed — text embedding models, top of MTEB benchmarks
- Rerank — search-result reranking model
- Aya — multilingual research model (101 languages)
North
In 2024, Cohere launched North, an enterprise AI workspace that combines retrieval, reasoning, and tool-use into a Slack-style interface for knowledge workers.
Funding
Cohere has raised over US$1 billion across multiple rounds, with strategic investments from NVIDIA, Salesforce, and Cisco, valuing the company at US$5.5 billion in 2024.
Latest activity
Full history →- 1
Cohere: Command R7B (12-2024) pricing update
Cohere: Command R7B (12-2024): input $0.04 → $0.15 /1M tokens, output $0.15 → $0.04 /1M tokens
Cohere: Command R7B (12-2024) - 0
Cohere: Command R (08-2024) released
Cohere: Command R (08-2024) discovered via OpenRouter. Provider: Cohere.
Cohere: Command R (08-2024) - 0
Cohere: Command R+ (08-2024) released
Cohere: Command R+ (08-2024) discovered via OpenRouter. Provider: Cohere.
Cohere: Command R+ (08-2024) - 0
Cohere: Command R7B (12-2024) released
Cohere: Command R7B (12-2024) discovered via OpenRouter. Provider: Cohere.
Cohere: Command R7B (12-2024)
Releases timeline
Showing 6 most recent- Command A
Cohere's most capable model with 256K context, optimized for enterprise agentic tasks.
- Cohere: Command R7B (12-2024)
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...
- Cohere: Command R (08-2024)
command-r-08-2024 is an update of the [Command R](/models/cohere/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...
- Cohere: Command R+ (08-2024)
command-r-plus-08-2024 is an update of the [Command R+](/models/cohere/command-r-plus) with roughly 50% higher throughput and 25% lower latencies as compared to the previous Command R+ version, while keeping the hardware footprint...
- Command R+
Cohere's flagship model optimized for enterprise RAG and complex tasks.
- Command R
Efficient mid-size model from Cohere for RAG and agentic tasks.
Active models
- Cohere: Command R (08-2024)Active
command-r-08-2024 is an update of the [Command R](/models/cohere/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...
128K ctx - Cohere: Command R+ (08-2024)Active
command-r-plus-08-2024 is an update of the [Command R+](/models/cohere/command-r-plus) with roughly 50% higher throughput and 25% lower latencies as compared to the previous Command R+ version, while keeping the hardware footprint...
128K ctx - Cohere: Command R7B (12-2024)Active
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...
128K ctx - Command AActive
Cohere's most capable model with 256K context, optimized for enterprise agentic tasks.
256K ctx - Command RActive
Efficient mid-size model from Cohere for RAG and agentic tasks.
128K ctx - Command R+Active
Cohere's flagship model optimized for enterprise RAG and complex tasks.
128K ctx
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