Announcing Cohere's Command A Reasoning Model

We’re excited to announce the release of Command A Reasoning, a hybrid reasoning model designed to excel at complex agentic tasks, in English and 22 other languages. With 111 billion parameters and a 256K context length, this model brings advanced reasoning capabilities to your applications through the familiar Command API interface.

Key Features

• Tool Use: Provides the strongest tool use performance out of the Command family of models.
• Agentic Applications: Demonstrates proactive problem-solving, autonomously using tools and resources to complete highly complex tasks.
• Multilingual: With 23 languages supported, the model solves reasoning and agentic problems in the language your business operates in.

Technical Specifications

• Model Name: command-a-reasoning-08-2025
• Context Length: 256K tokens
• Maximum Output: 32K tokens
• API Endpoint: Chat API

Integrating Command A Reasoning is straightforward using the Chat API. Here’s a non-streaming example:

from cohere import ClientV2

co = ClientV2("<YOUR_API_KEY>")

prompt = """
Alice has 3 brothers and she also has 2 sisters. How many sisters does Alice's brother have?
"""

response = co.chat(
    model="command-a-reasoning-08-2025",
    messages=[
        {
            "role": "user",
            "content": prompt,
        }
    ],
)

for content in response.message.content:
    if content.type == "thinking":
        print("Thinking:", content.thinking)

    if content.type == "text":
        print("Response:", content.text)

from cohere import ClientV2

co = ClientV2(api_key="<YOUR_API_KEY>")        

prompt = """
Alice has 3 brothers and she also has 2 sisters. How many sisters does Alice's brother have?
"""

response = co.chat_stream(
    model="command-a-reasoning-08-2025",
    messages=[
        {
            "role": "user",
            "content": prompt,
        }
    ],
)
for event in response:
    if event.type == "content-delta":
        if event.delta.message.content.thinking:
            print(event.delta.message.content.thinking, end="")
        if event.delta.message.content.text:
            print(event.delta.message.content.text, end="")

Customization Options

You can enable and disable thinking capabilities using the thinking parameter, and steer the model's output with a flexible user-controlled thinking budget; for more details on token budgets, advanced configurations, and best practices, refer to our dedicated Reasoning documentation.