North Mini Code (free)
Cohere · released Jun 17, 2026
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...
Specification
- Context window
- 256K
- Max output
- 64K
- Knowledge cutoff
- Not stated
- Parameters
- 30.5B
- Licence
- apache-2.0
- Serving providers
- 1
- Moderated
- Yes
- Uptime
- 97.0%
Intelligence
20.2
60th percentile
Coding
36.5
Coding Index
Agentic
3.1
Agentic Index
Output speed
26 t/s
Median across providers
Latency
1.18s
Time to first token
Cost per task
Free
Estimated
Benchmarks
Where the score comes from
The Intelligence Index is a composite. These are the underlying evaluations this model was actually measured on.
Evaluation scores
Percentage correct · higher is better
- GPQA Diamond75.7%
- IFBench57.6%
- SciCode38.2%
- τ²-bench (Telecom)37.4%
- AA-LCR (long context)36.0%
- Terminal-Bench Hard31.1%
- Humanity's Last Exam11.1%
An evaluation missing from this list was not run for this model — it is not a zero.
View as table
| Evaluation | Score |
|---|---|
| GPQA Diamond | 75.7% |
| IFBench | 57.6% |
| SciCode | 38.2% |
| τ²-bench (Telecom) | 37.4% |
| AA-LCR (long context) | 36.0% |
| Terminal-Bench Hard | 31.1% |
| Humanity's Last Exam | 11.1% |
Against its peers
Intelligence Index · this model highlighted, nearest peers in grey
- R1DeepSeek20.4
- North Mini Code (free)Cohere20.2
- GPT-5 NanoOpenAI20.1
- GLM 4.5Z.ai19.7
- Kimi K2 0711Moonshot AI19.7
- GPT-4.1OpenAI19.6
- o3 MiniOpenAI19.2
- o1-proOpenAI19.1
Peers are the models sitting closest on the Intelligence Index — the set you would realistically choose between.
View as table
| Model | Intelligence |
|---|---|
| R1 | 20.4 |
| North Mini Code (free) | 20.2 |
| GPT-5 Nano | 20.1 |
| GLM 4.5 | 19.7 |
| Kimi K2 0711 | 19.7 |
| GPT-4.1 | 19.6 |
| o3 Mini | 19.2 |
| o1-pro | 19.1 |
Percentile among all indexed models
Pricing
What it costs to run
List prices per million tokens, plus what one representative task works out to.
List price
- Input / 1M tokens
- Free
- Output / 1M tokens
- Free
- Cached input / 1M
- Not offered
- Blended 3:1
- Free
One task, estimated
Free
- Input tokens
- 50,000
- Output tokens
- 80,000
- Profile
- Reasoning
Estimated from list pricing: 50K input tokens plus 80K output tokens for reasoning models (25K for non-reasoning).
Serving providers
Speed and latency figures are medians across these providers, so a widely-served model reports a blend rather than any single endpoint.