# Command A

## Kurzbeschreibung
**Command A** is Cohere’s most powerful enterprise LLM for real business tasks such as tool use, retrieval-augmented generation, agents, and multilingual workflows. 


The model has 111 billion parameters, supports 23 languages, features a 256k context window, and according to Cohere is designed for a comparatively low inference footprint.

## Claim
LLM “Our largest, most performant model, ideal for building enterprise agents with a low compute footprint.” - “Max performance, minimal compute”

## Geeignet für
- API Integration
- Automation / Workflows
- Images
- Data Analysis
- Data Extraction / Document Analysis
- Email / Communication
- Finance / Accounting
- Customer Service & Chatbots
- Marketing & Advertising
- Productivity & Planning
- Programming / Software Development
- Texts / Content
- Translations
- Sales / Sales
- Knowledge Management / Internal Search

## Kernfunktionen
- Embeddings
- Function Calling
- AI Agents
- LLM API
- Language Model
- Text Generation
- Summarization

## Preismodell
- **free:** Yes, limited. Publicly primarily API/enterprise use; free trial or evaluation access may depend on the contract/account.
- **other:** **API Usage** Model access via the Cohere API, usage-based billing by model and tokens.


**Enterprise / Private Deployment** VPC, on-premises, or air-gapped deployment for companies with strict data protection, security, and data residency requirements.


**North / Compass / Embed / Rerank** Complementary Cohere products for agents, enterprise search, embeddings, and retrieval

## DSGVO und Datenschutz
**Gesamteinschätzung:** Yes

**Overall assessment of hosting & data: **

Command A is an enterprise LLM for tool use, RAG, agents, and multilingual tasks. Cohere offers managed API, private cloud/VPC, and on-premises deployments; according to the documentation, private deployments can also run in air-gapped environments. Positives include 256k context, enterprise focus, private deployment, RAG/agent strength, and reduced data leakage risks with on-prem/VPC. A critical point is that self-/private hosting requires technical infrastructure and an enterprise contract. 


**Conclusion: **

Command A is particularly strong for companies that want to integrate LLMs into their own systems in a controlled way while retaining data sovereignty.



[Cohere Privacy Policy](https://cohere.com/privacy?utm_source=chatgpt.com)

**GDPR assessment: **Command A or Cohere is conditionally to well suited from a GDPR perspective, especially with an enterprise contract, DPA, and private deployment. 


**Positive** is that Cohere documents enterprise data controls, DPA requests, security programs, and private deployments for VPC and on-premises. The hosting flexibility is particularly strong: Cohere can be operated in the customer's own private cloud or on-premises, allowing data residency and governance to be controlled more effectively. 


**Negative** is that for public SaaS/API usage, specific server locations and training/data controls depend on the contract and deployment model; for enterprise usage, the DPA, training opt-out, retention, subprocessors, and region should be contractually reviewed. 


**Server location: **For private deployment, freely selectable or controllable by the customer; for Cohere Managed Cloud, EU-only hosting cannot be generally guaranteed without a specific contract review. Further link: Cohere Privacy, Security, and Private Deployments.


[Cohere Privacy Policy](https://cohere.com/privacy?utm_source=chatgpt.com)

## Hosting und Daten
- **On-Prem / lokales Hosting:** abgedeckt
- **Private Cloud / Rechenzentrum:** abgedeckt
- **EU SaaS / Managed:** teilweise / indirekt
- **Hybrid:** abgedeckt
- **AVV / DPA:** abgedeckt
- **Kein Training auf Kundendaten:** abgedeckt
- **Open-Source / Transparenz-Pfad:** teilweise / indirekt

## Standort
**Land:** Canada

**Taxonomie:** Canada

Cohere Inc., 171 John Street, Suite 200, Toronto, Ontario M5T 1X3, Canada.

## Vorteile
- Very strong for RAG, tool use, agents, and enterprise automation.
- 256k context window for long documents and large knowledge contexts.
- Supports 23 business languages, including German, English, French, Spanish, Italian, Portuguese, Japanese, Korean, Chinese, and Arabic.
- Comparatively efficient operation: Cohere cites two A100/H100 GPUs as the hardware requirement.
- Flexible deployment options: Cohere Platform, Cloud AI Services, Private Cloud/VPC, and on-premises.

## Nachteile
- Command A is primarily a text model; Command A Vision is provided separately for image input.
- The research weights are CC-BY-NC, so they are not freely available for commercial use.
- According to the Trust Center, Cohere SaaS runs on Google Cloud in US-Central; EU-only SaaS is not documented for the public Cohere platform.
- According to the Trust Center, a request or NDA is required for a DPA/AVV.
- For productive use of newer variants such as Command A Reasoning, additional sales clarifications may be necessary.

## Quellen
- Offizielle Website: https://cohere.com/pricing

## Letzter Datenstand
2026-04-25

## Originalseite
https://kifox.ai/en/ki-tools/command-a-en/
