Speed
Output tokens / second
Custom pricing for production workloads
Command A is a powerful LLM with advanced capabilities for enterprise applications.
Cohere's Command A, a 111B-parameter model, excels in agentic workflows and multilingual tasks.
cohere/command-ahttps://api.aimlapi.com/v1Command A is a 111-billion-parameter dense transformer model developed by Cohere, tailored for enterprise AI applications. It excels in agentic workflows, retrieval-augmented generation (RAG), and multilingual tasks, delivering precise, data-grounded insights across 23 languages. Command A is optimized for efficiency and professional use cases such as coding, automation, and conversational intelligence.
Command A leverages a dense transformer architecture optimized for tool integration and RAG workflows. It supports a broad multilingual spectrum covering 23 languages including Arabic, Chinese (Simplified and Traditional), Russian, and Vietnamese. The model runs efficiently on two A100/H100 GPUs, achieving 150% higher throughput than its predecessor.
Based on Cohere’s reported metrics:
These metrics highlight strong reasoning (MMLU, IFEval), mathematical problem-solving (MATH), and moderate coding accuracy and business function calling capabilities (Taubench, BFCL). Command A supports a 256K token context window for extended document and workflow handling.
Command A demonstrates solid performance in enterprise AI benchmarks, achieving 85.5% on MMLU for reasoning, 63.8% on BFCL for business function calling, and 51.7% on Taubench for coding accuracy, indicating moderate performance in SQL and code translation. It scores 80.0% on MATH and 90.0% on IFEval, reflecting strong reasoning and instruction-following capabilities. Users note effective multilingual support across 23 languages and reliable RAG for data-grounded insights.
Enterprise-grade coding assistants
Generate accurate SQL queries and translate code (e.g., Python to JavaScript). Ideal for automating internal tools, analytics scripts, and enterprise workflows.
Retrieval-Augmented Generation (RAG)
Deliver grounded insights using retrieval-based inputs from databases or documents. Suitable for financial analysis, compliance audits, and internal knowledge search.
See how Command A compares in generation speed and latency. Data retrieved Nov 3, 2026.
Output tokens / second
Compare 17 models available on AI/ML API across 5 independent benchmarks.
Expert-written questions across academic subjects.
Graduate-level science questions written to resist web search.
Reasoning across long documents of about 100k tokens.
Following precise instructions about the shape of the answer.
Customer support agent tasks with tool calls.
| Usage | Price | Unit |
|---|---|---|
| Input | $2.65 | 1M tokens |
| Output | $10.58 | 1M tokens |
Prices from the AI/ML API price list, checked on Nov 4, 2026.
AI/ML API input and output rates for 5 models, per million tokens.
| Model | Input | Output |
|---|---|---|
| $2.65 | $10.58 | |
| $0.0397 | $0.1587 | |
| $0.1587 | $0.6348 | |
| $2.65 | $10.58 | |
| $1.32 | $10.58 |
Give your agent the model details, code and documentation.
export AIMLAPI_KEY="8f2b4c7d9a1e6b3f…"curl 'https://api.aimlapi.com/v1/chat/completions' \
-H "Authorization: Bearer $AIMLAPI_KEY" \
-H 'Content-Type: application/json' \
-d '{
"model": "cohere/command-a",
"messages": [
{
"role": "user",
"content": "Write a haiku about the ocean."
}
]
}'import os
import requests
headers = {
"Authorization": f"Bearer {os.environ['AIMLAPI_KEY']}",
"Content-Type": "application/json",
}
payload = {
"model": "cohere/command-a",
"messages": [
{
"role": "user",
"content": "Write a haiku about the ocean."
}
]
}
response = requests.post("https://api.aimlapi.com/v1/chat/completions", headers=headers, json=payload, timeout=120)
response.raise_for_status()
print(response.json())const response = await fetch("https://api.aimlapi.com/v1/chat/completions", {
method: "POST",
headers: {
Authorization: `Bearer ${process.env.AIMLAPI_KEY}`,
"Content-Type": "application/json",
},
body: JSON.stringify({
"model": "cohere/command-a",
"messages": [
{
"role": "user",
"content": "Write a haiku about the ocean."
}
]
}),
});
if (!response.ok) throw new Error(`HTTP ${response.status}`);
console.log(await response.json());Command A has a 256,000 tokens context window and can return up to 256,000 tokens.
Command A takes text as input and returns text.
Use cohere/command-a as the model id. Requests go to https://api.aimlapi.com/v1/chat/completions.
Command A became available on September 9, 2025.
Command A costs $2.65 input and $10.58 output per 1M tokens on AI/ML API, billed as you go with no subscription.
Yes, Command A can stream responses as they are generated.
Command A was built by Cohere.
Yes, Command A supports function calling and tool use, including parallel tool calls.