75.7%
GPQA Diamond (AA run)
Models / Cohere
North · Released 2026-06-09
Cohere's small coding-focused MoE model, covered and evaluated by Artificial Analysis on 9 Jun. We track it as a code-specialist candidate rather than a general frontier model.
Focused coding model for low-cost code edit, completion, and repo-assistant experiments where a full frontier model is wasteful.
Family profile
Best published score in each covered benchmark family.
4 tested benchmark families
Where North Mini Code places on each public benchmark source that publishes a row. Rank counts every model with a latest row in the same test — not a universal quality score.
| Benchmark | Family | Rank | Score | Source | Date |
|---|---|---|---|---|---|
| AA output speed | Performance | #47/ 195 | Artificial Analysis | 2026-10-12 | |
| SciCode | Coding | #85/ 97 | 39 | Artificial Analysis | 2026-09-28 |
| Terminal-Bench | Agentic | #115/ 167 | 36 | Artificial Analysis | 2026-09-28 |
| GPQA Diamond | Reasoning | #151/ 184 | 76 | Artificial Analysis | 2026-09-28 |
| Humanity's Last Exam | Reasoning | #158/ 186 | 11 | Artificial Analysis | 2026-09-28 |
| AA-LCR | Long context | #169/ 184 | 37 | Artificial Analysis | 2026-09-28 |
The three highest-scoring models with pages in each capability family. Where North Mini Code shows up, it's highlighted.
Benchmark rows added to the public ledger for North Mini Code in the last 120 days. Older rows live in the full table below.
| Benchmark | Family | Score | Source | Days ago |
|---|---|---|---|---|
| AA output speed | Performance | 119 t/s | Artificial Analysis | 10 |
| AA-LCR | Long context | 37.33% | Artificial Analysis | 24 |
| GPQA Diamond | Reasoning | 75.7% | Artificial Analysis | 24 |
| Humanity's Last Exam | Reasoning | 11.1% | Artificial Analysis | 24 |
| SciCode | Coding | 38.8% | Artificial Analysis | 24 |
| Terminal-Bench | Agentic | 35.58% | Artificial Analysis | 24 |
A high composite that hides a weak family is a trap. These bars surface the families where this model hasn't been publicly tested, and where it leads.
Hover any dot for name, score, and input price. Keyboard: tab through the top twelve, or use the ranking below.
Every catalog benchmark for North Mini Code. Scores link to the original source; gaps mean no public row exists yet.
6 of 13 catalog benchmarks have a sourced row for North Mini Code.
75.7%
GPQA Diamond (AA run)
11.1%
HLE (AA run)
38.8%
SciCode (AA run)
35.58%
Terminal-Bench v2.1 (AA run)
37.33%
AA-LCR (AA run)
119 t/s
Median output tokens/s (1k prompt, default provider)
Every answer below is assembled from the dated fields on this page. Nothing is written separately for search.
North Mini Code is a Cohere model: Cohere's small coding-focused MoE model, covered and evaluated by Artificial Analysis on 9 Jun. We track it as a code-specialist candidate rather than a general frontier model.
Focused coding model for low-cost code edit, completion, and repo-assistant experiments where a full frontier model is wasteful.
North Mini Code lists — input and — output per 1M tokens. Pricing last checked 2026-06-14.
North Mini Code publishes a 128K token context window.
North Mini Code carries Lightweight status on the model atlas.
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