Answers from the documentation; checking which model is on duty
Hi - I answer from the OpenSmartRoute documentation: routing, the API, plans and quotas, self-hosting. Ask away, or open a support ticket if you need a person.
Grounded in the docs - follow a source before acting on it.
North Mini Code (free) - Model - OpenSmartRoute
Modelv1.0.0
North Mini Code (free)
North Mini Code is Cohere's first agentic coding model and the debut of its North family. A sparse mixture-of-experts model with 30B total parameters and 3B active, it is optimized...
Reference model card from the OpenRouter listing - model cohere/north-mini-code:free. Prices are per million tokens as listed; ratings and installs below are from this marketplace.
North Mini Code (free)
North Mini Code is Cohere's first agentic coding model and the debut of its North family. A sparse mixture-of-experts model with 30B total parameters and 3B active, it is optimized...
Facts
Vendor
Cohere
Context window
256,000 tokens
Max output
64,000 tokens
Input price
$0.00 / 1M tokens
Output price
$0.00 / 1M tokens
Input
text
Output
text
Tool calling
yes
Structured outputs
no
Reasoning
yes
Open weights
CohereLabs/North-Mini-Code-1.0
Endpoint: https://openrouter.ai/api/v1 (OpenAI-compatible), model cohere/north-mini-code:free
Use it
Copy one of these into your project. Installing also returns the manifest and these snippets.
# after Install: the listing is in your workspace's routing pool - nothing else to configurecurl-s-X POST https://osr-api.kindrock-caaab1a2.centralindia.azurecontainerapps.io/api/v1/route -H 'Authorization: Bearer $OSR_API_KEY' -H 'Content-Type: application/json' -d '{"text": "...", "plan": true}'# or pin it on the OpenAI-compatible endpoint: {"model": "model-cohere-north-mini-code-free", ...}
Installed into a catalogue, chosen by a router
Install North Mini Code (free) and it becomes one more candidate the router can pick - when it fits.
A listing is a routing target with a manifest: what it does, which domains it covers, what it costs and who publishes it. Once installed it sits beside your own models and tools, is scored like any other candidate for each request, and shows up in the trace when it wins. Ratings come from workspaces that installed it, one per account.
