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North Mini Code

North Mini Code is a Cohere open-weights reasoning model, released 9 Jun 2026. Its best configuration ranks #506 of 785 on the BenchLeader Index at 45.9 ±6.9, in the lower half. The ± is the point: 407 other configurations score within that range, so they and this one cannot be told apart on quality alone — price and speed are what separate them. It scores highest in instruction following (58) and lowest in knowledge (40). Output speed of 60 tokens per second puts it slower than most, with a first answer in 33.6 s. Last measured 9 Jun 2026.

Blended price
–
Output speed
60 tok/s
measured by Artificial Analysis
First answer
34 s
Context
256k
Full answer
42 s
median, reasoning included
Cost per run
–
Released
9 Jun 2026
How it scores by categoryDashed line = average model (50). One step of 15 = one standard deviation.
  1. Overall index46
  2. Reasoning41
  3. Agents & tools43
  4. Knowledge40
  5. Instruction following58
  6. Long context43
  7. Composite41

Versions

Cohere has shipped 2 models under this name. Each is ranked on its own results; a newer version often has fewer results so far, which holds its index nearer the average until more arrive.

ModelReleasedIndexRank
North Mini Codethis page9 Jun 202645.9#506
North Mini Code 1.09 Jun 2026––

How its index has moved

9 Sept 2026 to 23 Oct 2026
394857

The index is recomputed from scratch every day, so a line moves when a new benchmark result lands, when a publisher revises a score, or when the models it is normalised against change. Early movement usually means the score is still settling.

Benchmark results

See all LLM benchmarks. One column per reasoning effort. Rank is among every configuration of every model on that benchmark. Hover a score for the run it came from.

Reasoning

Benchmarknot statedSourceTrend
GPQA Diamond (AA)not in index75.7%#246Artificial Analysis
Humanity's Last Exam (AA)not in index11.1%#301Artificial Analysis
CritPt0.3%#271Artificial Analysis

Coding

Benchmarknot statedSourceTrend
SciCode (AA)not in index38.8%#184Artificial Analysis
Terminal-Bench 4.0 (AA)not in index0.5%#139Artificial Analysis
Terminal-Bench 2.1 (AA)not in index35.6%#147Artificial Analysis

Knowledge

Instruction following

Benchmarknot statedSourceTrend
IFBench57.5%#138Artificial Analysis

Long context

Benchmarknot statedSourceTrend
AA-LCR37.3%#368Artificial Analysis
MLCRnot in index4.4%#152Artificial Analysis

Composite

Benchmarknot statedSourceTrend
AA Intelligence Index v4.3.29.9#386Artificial Analysis

What a task costs

Estimates from list price, output speed and time to first answer for the best configuration. “With caching” assumes three-quarters of the input is served from the prompt cache. Reasoning tokens are not modelled.

WorkloadTokens in / outCostWith cachingTime
Chat reply400 / 300––38.6 s
Summarize a 30-page report12,000 / 600––43.6 s
Code edit6,000 / 1,500––58.5 s
Agentic coding session60,000 / 4,000––1.7 min
Structured extraction2,000 / 200––37.0 s

More from Cohere

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See also

Questions people ask

What are North Mini Code's benchmark scores?
As of 25 Oct 2026, North Mini Code scores 45.9 ±6.9 on the BenchLeader Index, strongest in instruction following (58) and weakest in knowledge (40). That rests on 7 independent benchmark results, and every score on this page links to its publisher.
How does North Mini Code rank?
North Mini Code is #506 of 785 ranked configurations on 25 Oct 2026. 407 other configurations score within its margin, so the exact position matters less than the band. The leader is Claude Opus 5.5 (max effort) at 72.6.
When was North Mini Code released?
Cohere released North Mini Code on 9 Jun 2026.

Data as of 25 Oct 2026. Compare with another model.

Cite as: BenchLeader, “North Mini Code: benchmarks, pricing, speed and rank”, data as of 25 Oct 2026, https://www.benchleader.com/models/north-mini-code.