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Command (Cohere)

Command (Cohere)

Overview

Cohere is an enterprise-focused AI company. Founded in 2019 in Toronto, Cohere has carved a unique position as an LLM provider specializing in enterprise RAG, retrieval, and agents rather than consumer chat. Released in 2025, Command A delivers 256K context, 23 languages, and runs on just 2 A100/H100 GPUs.

Latest Model: Command A (2025)

Cohere's most performant model, specialized for RAG, tool use, agents, and multilingual use cases.

Performance & Efficiency

MetricValue
GPU RequirementJust 2 A100 or H100 (vs up to 32 for others)
Speed156 tok/sec (1.75x faster than GPT-4o)
Context Length256,000 tokens (~600 pages)
Languages23 languages (including improved Arabic dialects)

Key Features

1. Efficient GPU Requirements

Runs on just 2 A100/H100 GPUs — far fewer than the 32 required by some competitors. Dramatically lowers private deployment costs.

2. Enterprise RAG Specialization

Optimized for high-accuracy retrieval-augmented generation. Produces verifiable answers with citations.

3. Agentic Tool Use

Supports complex workflows with agent-style tool use.

4. North AI Platform

Cohere's enterprise agent platform for secure in-house automation.

5. Model Vault (Launched September 2025)

Dedicated inference platform. Deploy Command, Rerank, and Embed in isolated VPCs or on-premises — sensitive data never leaves your organization.

6. Command A Vision

Cohere's first vision-capable model. Enterprise-grade image understanding.

Specialized APIs (Key to RAG)

Rerank API

Specialized for reranking search results. Significantly improves RAG pipeline accuracy.

Embed API (Multilingual)

23-language multilingual embedding model. Cohere is recognized as industry-leading in multilingual RAG.

Pricing

ItemPrice
Command A APIEnterprise pricing (contact)
Command R+ API$2.50 / $10 per 1M tokens
Rerank / Embed APIPay-per-use
Private deploymentUp to 50% cheaper than API

Strengths

  • High-accuracy enterprise RAG
  • 23-language multilingual embeddings
  • Runs on just 2 GPUs (highly efficient)
  • Model Vault for on-prem / VPC deployment
  • North AI platform for agentic automation
  • 1.75x faster than GPT-4o

Weaknesses

  • No consumer product (no ChatGPT/Claude.ai-like app)
  • Lower brand awareness than OpenAI/Anthropic
  • No image/video generation
  • ❌ No consumer free tier

Official Resources

公式サイト