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Command A

Cohere’s Command A, a 111B-parameter model, excels in agentic workflows and multilingual tasks. With a 256K-token context window, it drives enterprise solutions.

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Javascript

Python

                                        const { OpenAI } = require('openai');

const api = new OpenAI({
  baseURL: 'https://api.ai.cc/v1',
  apiKey: '',
});

const main = async () => {
  const result = await api.chat.completions.create({
    model: 'cohere/command-a',
    messages: [
      {
        role: 'system',
        content: 'You are an AI assistant who knows everything.',
      },
      {
        role: 'user',
        content: 'Tell me, why is the sky blue?'
      }
    ],
  });

  const message = result.choices[0].message.content;
  console.log(`Assistant: ${message}`);
};

main();

                                        import os
from openai import OpenAI

client = OpenAI(
    base_url="https://api.ai.cc/v1",
    api_key="",    
)

response = client.chat.completions.create(
    model="cohere/command-a",
    messages=[
        {
            "role": "system",
            "content": "You are an AI assistant who knows everything.",
        },
        {
            "role": "user",
            "content": "Tell me, why is the sky blue?"
        },
    ],
)

message = response.choices[0].message.content

print(f"Assistant: {message}")

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Command A

Product Detail

💡 Introducing Cohere Command A: Enterprise AI Powerhouse

Command A is Cohere's latest 111-billion-parameter dense transformer model, meticulously engineered for demanding enterprise AI applications. It delivers unparalleled precision and data-grounded insights, excelling across various critical use cases, including agentic workflows, Retrieval-Augmented Generation (RAG), and multilingual tasks in 23 languages. Command A is optimized for efficiency and is ideal for professional applications such as coding, automation, and advanced conversational intelligence.

🔧 Technical Specifications & Performance

Command A utilizes a dense transformer architecture specifically optimized for seamless tool integration and RAG workflows. It provides extensive multilingual support across 23 languages, including key global languages like Arabic, Chinese (Simplified and Traditional), Russian, and Vietnamese. This model runs efficiently on just two A100/H100 GPUs, achieving an impressive 150% higher throughput compared to its predecessor.

For an in-depth look, refer to the original source: Cohere Command A Description.

📈 Performance Benchmarks

Based on Cohere’s reported metrics, Command A demonstrates robust capabilities:

✅ MMLU: 85.5% (Strong reasoning)
✅ MATH: 80.0% (Effective mathematical problem-solving)
✅ IFEval: 90.0% (Excellent instruction following)
✅ BFCL: 63.8% (Moderate business function calling)
✅ Taubench: 51.7% (Moderate coding accuracy)

These metrics underscore Command A’s formidable reasoning and instruction-following abilities, coupled with solid mathematical problem-solving skills. It also offers a substantial 256K token context window, crucial for handling extensive documents and complex workflows.

Visual representation of Command A's key performance metrics.

💻 Key Capabilities & Pricing

🤖 Enterprise-Grade Agentic AI: Integrates with external tools for autonomous, intelligent workflows.
📝 Retrieval-Augmented Generation (RAG): Delivers highly reliable, data-grounded outputs with built-in citation features.
🌐 Multilingual Support: Facilitates translation, summarization, and automation across its 23 supported languages.
⚡ High Throughput: Optimized for large-scale enterprise usage, offering increased efficiency over prior versions.
🔒 Flexible Safety Modes: Offers both contextual and strict safety guardrails to suit diverse deployment requirements.

💸 API Pricing

Input: $2.769375 per million tokens

Output: $11.0775 per million tokens

🚀 Optimal Use Cases

Command A is engineered to excel in a variety of enterprise scenarios:

💻 Coding Assistance: Generate SQL queries, translate code, and accelerate development.
📉 Data-Driven Research & Analysis: Enhance financial analysis and research through reliable RAG.
🌐 Multilingual Task Automation: Streamline global enterprise workflows with automated translation and summarization.
🔍 Business Process Automation: Integrate advanced AI tools for enhanced operational efficiency.
💬 Advanced Conversational Agents: Power sophisticated, context-rich, and multilingual chatbots.

📃 Code Samples & API Parameters

Example Code Snippet:

import cohere
import os

co = cohere.Client(os.getenv("COHERE_API_KEY"))

response = co.chat(
    model='command-a',
    message="What is the capital of France?"
)

print(response.text)

API Parameters:

model: string - Specifies the model (e.g., 'command-a').
prompt: string - Text input for generation.
max_tokens: integer - Max number of tokens to generate.
temperature: float - Controls randomness (0.0 to 5.0).
tools: array - List of tools for agentic workflows.
language: string - Target language (e.g., "en", "fr", "ja").
use_rag: boolean - Enables RAG if true.

🔀 Comparison with Other Leading Models

Command A stands strong against its competitors, showcasing distinct advantages:

➤ Vs. DeepSeek V3: Command A's MMLU (85.5%) is slightly below DeepSeek V3's (~88.5%), and Taubench (51.7%) trails its (~70%). However, Command A boasts a superior 256K context window, significantly larger than DeepSeek V3's 128K, offering a distinct advantage in complex RAG scenarios.
➤ Vs. GPT-4o: Command A's MMLU (85.5%) is competitive with GPT-4o's (~87.5%), though its Taubench (51.7%) lags behind GPT-4o's (~80%). Crucially, Command A's 256K context window again surpasses GPT-4o's 128K, making it more suitable for extensive document analysis.
➤ Vs. Llama 3.1 8B: Command A significantly outperforms Llama 3.1 8B across the board, with a much higher MMLU (85.5% vs. ~68.4%) and Taubench (51.7% vs. ~61%). Its 256K context window also vastly outstrips Llama 3.1 8B's 8K, enabling far more complex and context-rich applications.

🗄 API Integration

Command A is readily accessible via a robust AI/ML API. Comprehensive documentation is available for seamless integration.

❓ Frequently Asked Questions (FAQ)

1. What is Command A primarily designed for?

Command A is primarily tailored for enterprise AI applications, excelling in agentic workflows, Retrieval-Augmented Generation (RAG), and multilingual tasks across 23 languages. It's ideal for professional use cases like coding, automation, and conversational intelligence.

2. How does Command A perform regarding context window size?

Command A boasts an impressive 256K token context window, which is significantly larger than many competitor models like GPT-4o and DeepSeek V3 (both 128K), making it highly effective for processing and understanding extensive documents and complex workflows.

3. What are Command A's key strengths in benchmarks?

It scores highly on MMLU (85.5%) for general reasoning and IFEval (90.0%) for instruction following, indicating strong cognitive and compliance capabilities. It also performs well in MATH (80.0%) for problem-solving.

4. Is Command A suitable for multilingual tasks?

Yes, Command A offers robust multilingual support across 23 languages, facilitating translation, summarization, and automation for global enterprise workflows.

5. What are the API pricing details for Command A?

Input: $2.769375 per million tokens

Output: $11.0775 per million tokens

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