Model Releases
Cohere's Command R+ 104B: Enterprise RAG Powerhouse with 128K Context
Cohere releases Command R+, a 104B parameter open-source model optimized for enterprise RAG applications with 128K context window.
April 4, 2024
Model ReleaseCommand R+
Introduction
Cohere has unveiled Command R+, their most ambitious enterprise-focused language model yet—a 104 billion parameter powerhouse designed specifically for complex retrieval-augmented generation (RAG) workflows and enterprise applications. Released on April 4, 2024, this open-source model represents a significant leap forward in domain-specific AI solutions tailored for business environments.
What makes Command R+ particularly compelling for enterprise developers is its ground-up optimization for real-world business scenarios rather than generic benchmarks. The model addresses critical pain points in enterprise AI adoption: long-context processing, multilingual support, and grounded generation that ensures outputs remain tied to source documents and facts.
With the growing demand for AI systems that can handle extensive corporate documentation, legal contracts, and technical manuals, Command R+ enters the market positioned as a specialized tool for organizations requiring reliable, explainable AI assistance in high-stakes environments.
Key Features & Architecture
Command R+ leverages a 104 billion parameter architecture built on Cohere's proven foundation model research. The model implements a Mixture of Experts (MoE) approach, allowing efficient inference while maintaining high performance across diverse tasks. This design choice enables selective activation of relevant parameters, optimizing both computational efficiency and response quality.
The standout architectural feature is the 128,000-token context window—sufficient to process entire books, lengthy technical documents, or comprehensive policy manuals in a single pass. This extended context capability eliminates the need for complex chunking strategies that often break semantic coherence in large document processing.
Multilingual capabilities span 10 major languages, making it suitable for global enterprises operating across different linguistic markets. The model demonstrates strong performance in English, Spanish, French, German, Italian, Portuguese, Dutch, Russian, Chinese, and Japanese.
- 104B parameters with Mixture of Experts (MoE) architecture
- 128K token context window for long-form content processing
- Support for 10 major languages
- Grounded generation capabilities for fact-based responses
- Optimized for RAG and enterprise applications
Performance & Benchmarks
Command R+ delivers impressive performance metrics across standard evaluation suites. On the MMLU benchmark, the model achieves 79.2% accuracy, representing a 12% improvement over its predecessor. The HumanEval score stands at 74.1%, demonstrating strong coding capabilities essential for enterprise automation tasks.