Cohere
RankedEnough results for an index.North Mini Code
North Mini Code is a reasoning model from Cohere. 9 benchmarks count toward its index, in 5 categories.
IndexAll categories, out of 100.38.0±7.9Median 51.0
CoverageIndex weight that has results.75%
SpeedOutput tokens per second.70/sMedian 67/s
First tokenSeconds to the first output token.28.9 sMedian 1.3 s
Input / 1MUS dollars per 1M input tokens.FreeMedian $0.60
Output / 1MUS dollars per 1M output tokens.FreeMedian $2.55
ContextMaximum tokens in one request.256KMedian 262K
EloLMArena rating and rank.—Median 1422
Run locally
30.48B parameters- 16-bit
- 65.0 GB
- 8-bit
- 35.0 GB
- 4-bit
- 20.4 GB
Memory need with a short context. The 4-bit copy fits in 24 GB. Compare local models
Capabilities
Index per category, out of 100.Results
9 countedBenchmarkThe benchmark name.ResultThe score from the source.PlacePlace among results on this benchmark.
Sources
BenchLMCC BY-NC 4.0History
5 releases23 Oct 202612 Nov 2026
23 Oct 202612 Nov 2026
Questions
- How much does North Mini Code cost?
- Input tokens are free, output tokens are free.
- How good is North Mini Code?
- Its index is 38.0 out of 100. That is place 220 of 283 ranked models.
- What is North Mini Code best at?
- Knowledge: 38.7 out of 100, place 203 of 268.
- How fast is North Mini Code?
- 70 output tokens per second, 28.9 s to the first token.
- What is the context window of North Mini Code?
- 256K tokens.
- Is North Mini Code open source?
- Yes. Its weights are published.
- When was North Mini Code released?
- June 2026.
Badge
- HTML
<a href="https://inference360.ai/models/north-mini-code-1-0"><img src="https://inference360.ai/badges/north-mini-code-1-0.svg" alt="North Mini Code on Inference360: place 220 of 283, index 38.0" height="20"></a>- Markdown
[](https://inference360.ai/models/north-mini-code-1-0)