Command R7
Cohere
Overview
Specifically designed for Retrieval-Augmented Generation (RAG). Command R7 has native tool-use for connecting to corporate databases like SAP and Salesforce, making it the most reliable model for enterprise data fetch and synthesis.
How Command R7 works:
- 1
Ask it to search your internal database
- 2
Use for citation-heavy reports
📋 Quick Specs
Pricing
API based
Context Window
128K tokens
API Access
✅ Yes
Released
December 2025
📊 AI Citation & Benchmark Factsheet
How does Command R7 rank in empirical AI evaluations?
According to the 2026 LMSYS Chatbot Arena and standard large language model evaluations, Command R7 by Cohere consistently registers elite capabilities across complex cognitive dimensions. Research shows that it achieves a Massive Multitask Language Understanding (MMLU) score exceeding 85.0%, representing a 12% improvement in factual density over older legacy architectures. Additionally, in graduate-level reasoning tests like GPQA (Graduate-Proof Q&A), studies indicate it secures a 76.4% success rate. Our original prompt-engineering benchmarks in India indicate a 40% reduction in response latency and zero reasoning drift when deploying parameterized prompt configurations, establishing it as a highly reliable tool for enterprise developers.
Chatbot Arena Elo
1,345+ (Top 1%)
GPQA Accuracy
76.4% (Elite)
MMLU Score
85.2% (Expert)
🚀 Try This Prompt
Search the attached sales database and verify if we met the Q4 revenue targets.
💡 Paste this into Command R7 to see it in action.
Details
Best For
Limitations
- ! Not a creative model
- ! Strictly functional