North Mini Code (free) APITESTEDOPEN WEIGHTS256K context
North Mini Code is Cohere's first agentic coding model and the debut of its North family.
Pricing & specs mirror our live pricing as of July 2026 (pay-as-you-go). Coding score is our own measured result.
✅ First-party tested — we ran North Mini Code (free) on our 9-task coding suite
Missed: word-break, atoi, LFU. tested on free tier. Executed against hidden tests at real billed cost — full results · how we test.
What is 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...
North Mini Code (free) on the release timeline
North Mini Code (free) pricing
North Mini Code (free) has a free tier ($0 in / $0 out, rate-limited). Confirm current terms on live pricing before production use.
What North Mini Code (free) costs per month
| Workload | Tokens in / out (monthly) | Est. cost |
|---|---|---|
| Support chatbot | 40M / 12M | Free |
| RAG / knowledge base | 200M / 20M | Free |
| Coding agent | 80M / 25M | Free |
| Batch extraction | 150M / 8M | Free |
| Content generation | 20M / 40M | Free |
Cost = input price × input volume + output price × output volume. The same five workloads run on every model page, so any two compare directly.
North Mini Code (free) vs alternatives
| Model | Input / 1M | Output / 1M | Context | Our test |
|---|---|---|---|---|
| North Mini Code (free) | Free | Free | 256K | 6/9 |
| Command R7B (12-2024) | $0.04 | $0.15 | 128K | — |
| Command R (08-2024) | $0.15 | $0.60 | 128K | — |
| Command A | $2.50 | $10.00 | 256K | — |
| Llama 3.1 8B Instruct | $0.02 | $0.03 | 131K | — |
| Mistral Nemo | $0.02 | $0.03 | 131K | — |
When not to use North Mini Code (free)
- It is a heavy reasoner (~30,123 reasoning tokens across our 9 tasks) — slower and pricier per call; avoid it for high-volume, simple requests where a lean model is far cheaper.
- The free tier is rate-limited — route production traffic through a paid model.
Specs
| Model ID | cohere/north-mini-code:free |
| Modality | text->text (input: text) |
| Context window | 256,000 tokens |
| Max output | 64,000 tokens |
| Tool / function calling | ✅ Yes |
| Structured output (JSON) | — |
| Released | 2026-06-17 |
| Open weights | ✅ CohereLabs/North-Mini-Code-1.0 |
How to call North Mini Code (free)
from openai import OpenAI
client = OpenAI(base_url="https://api.datallmlab.com/v1", api_key="YOUR_DATALLM_LAB_KEY")
resp = client.chat.completions.create(
model="cohere/north-mini-code:free",
messages=[{"role": "user", "content": "Hello"}],
# supports tools=[...] and tool_choice
)
print(resp.choices[0].message.content)curl https://api.datallmlab.com/v1/chat/completions \
-H "Authorization: Bearer YOUR_KEY" \
-H "Content-Type: application/json" \
-d '{"model":"cohere/north-mini-code:free","messages":[{"role":"user","content":"Hello"}]}'import OpenAI from "openai";
const client = new OpenAI({ baseURL: "https://api.datallmlab.com/v1", apiKey: process.env.DATALLM_KEY });
const r = await client.chat.completions.create({
model: "cohere/north-mini-code:free",
messages: [{ role: "user", content: "Hello" }],
});
console.log(r.choices[0].message.content);The same key routes North Mini Code (free) and 300+ other models — switch models by changing one string. How OpenAI-compatible APIs work.
Prompting tips for North Mini Code (free)
- State the goal, not every step. North Mini Code (free) reasons internally — give it the objective, constraints and success criteria and let it plan the approach; over-scripting each step tends to lower quality. Turn effort up for hard problems.
- Huge 256K context — but anchor the ask. You can paste whole documents or codebases; models attend most to the start and end, so put the key instruction at the top and restate it after long inputs.
- Give it real tools. Pass a
tools=[...]schema instead of asking it to "pretend" — let North Mini Code (free) emit tool calls, execute them, and feed results back for the next turn.
Tips are derived from North Mini Code (free)'s actual capabilities — context window, tool & JSON support, modality and price tier — not generic advice.
Open-source tools for North Mini Code (free)
Popular open-source projects for running and building with North Mini Code (free) — star counts pulled from GitHub (July 2026).
Listed by GitHub stars; inclusion is by ecosystem relevance (inference engines, agent frameworks and SDKs), not affiliation. Stars change — see each repo for current numbers.
Migrating to North Mini Code (free)
Coming from OpenAI or another gateway? On an OpenAI-compatible setup the only changes are base_url → https://api.datallmlab.com/v1 and model → cohere/north-mini-code:free. Messages, streaming, tool calls and the rest of your code stay the same. Routing & failover guide.
Self-host or use the API?
North Mini Code (free) ships open weights (CohereLabs/North-Mini-Code-1.0), so you can run it yourself. Most teams still use the API: no GPU to provision or keep warm, no inference ops, and instant access across multiple providers with automatic failover. Self-host when data residency or fixed per-token economics matter most.
Rate limits & reliability
Rate limits here are the DataLLM Lab gateway's, not the upstream vendor's. On 429 (rate limited) or 503 (provider busy), retry with exponential backoff. See the error-code guide and failover setup.
Related reading
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Get an API keyCompare pricingFrequently asked questions
What is North Mini Code (free)?
North Mini Code is Cohere's first agentic coding model and the debut of its North family. It accepts text input with a 256K-token context window and was released on 2026-06-17. On DataLLM Lab it is callable through one OpenAI-compatible endpoint.
How much does North Mini Code (free) cost?
North Mini Code (free) currently has a free tier ($0 input / $0 output, rate-limited). Free tiers change — check live pricing before relying on it.
What is the context window of North Mini Code (free)?
256K tokens, with up to 64K max output tokens.
Is North Mini Code (free) open source?
Yes — open weights are published on Hugging Face (CohereLabs/North-Mini-Code-1.0). You can self-host it or call it via DataLLM Lab.
How do I call the North Mini Code (free) API?
Point any OpenAI SDK at https://api.datallmlab.com/v1 and set model to "cohere/north-mini-code:free". One DataLLM Lab key routes this model and 300+ others; no code changes beyond the base URL and model string.
How did North Mini Code (free) score in real testing?
In our executed 9-task coding benchmark it scored 6/9 (missed: word-break, atoi, LFU), averaging 54.1s per task at ~$0.00 per 1,000 tasks (real billed cost), generating 30,123 reasoning tokens. See our methodology for scope and limits.