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Command A Reasoning: free via FreeLLMAPI

Command A Reasoning: served free by 1 provider, up to 256K context, tool calling. Provider limits, quotas and setup examples on FreeLLMAPI.

Cohere

command-a-reasoning-08-2025
Context window256K tokens
Free budget~1-2M tokens/mo
Requests / min20 RPM
Requests / day33 RPD
May emit reasoning prose warning
Cohere Command A Reasoning can spend output budget explaining its thought process on terse prompts. Use a larger max_tokens cap or a stricter no-reasoning instruction when exact short answers are required.

Get this model the moment it changes

Limits move, models get replaced, better ones launch. Premium routers see this page's data live. Free routers see last month's.

ನೇರವಾಗಿಸಿ · $19/yr →

Use it

FreeLLMAPI is a self-hosted router you run yourself. Install it, paste in your free Cohere key, and command-a-reasoning-08-2025 answers on an OpenAI-compatible endpoint at http://localhost:3001/v1. No credit card, no hosted middleman: your prompts and your provider keys never leave your machine.

Install the router (macOS, Linux, WSL)
curl -fsSL https://freellmapi.co/install.sh | bash
Install the router (Windows PowerShell)
iwr -useb https://freellmapi.co/install.ps1 | iex
Call command-a-reasoning-08-2025 with curl
curl http://localhost:3001/v1/chat/completions \
  -H "Authorization: Bearer freellmapi-your-unified-key" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "command-a-reasoning-08-2025",
    "messages": [{"role": "user", "content": "Say hi in five words."}]
  }'
The same request in Python (openai)
from openai import OpenAI

client = OpenAI(
    base_url="http://localhost:3001/v1",
    api_key="freellmapi-your-unified-key",
)

resp = client.chat.completions.create(
    model="command-a-reasoning-08-2025",
    messages=[{"role": "user", "content": "Say hi in five words."}],
)
print(resp.choices[0].message.content)

The router answers on /v1/chat/completions and every other OpenAI surface, plus the Anthropic Messages API, so existing clients need only a new base_url. Swap the model id for auto and the router picks the best free model that is still under its limits. Full reference: docs/api.md.