CohereLanguage model

North Mini Code

North Mini Code has no overall index value yet because there are too few independent benchmark results.

Intelligencenot ranked yet

n/aOverall indexhigher is better

SpeedRank 31 of 101

116Tokens per secondhigher is better

Priceno API price

n/aper 1M tokenslower is better

ContextRank 76 of 102

256Ktokens at once≈ 380 A4 pages

PopularityRank 374 of 875

35out of 100same as last month

Summary

At 116 tokens per second it writes faster than a typical model (87).

North Mini Code is Cohere's purpose-built open-weight checkpoint for code generation, agentic software engineering, and terminal tasks. The 30-billion-parameter MoE activates 3 billion parameters and was trained with tool use for coding agents.

Cohere documents 256,000 context tokens and 64,000 output tokens. The model card requires a suitable chat template for reliable tool calls and recommends carrying thinking and tool content through the conversation. Apache 2.0 permits self-hosting. For vLLM, Cohere currently calls for a main development build and a dedicated parser.

See for yourself: one prompt, one attempt

SVG short test

One SVG task with the same fixed settings for every model, without hidden thinking.

North Mini Code

Earlier tests

Pelican on a bicycle

Prompt

Generate an SVG of a pelican riding a bicycle

Oct 1, 2026 · 66 s · $0.0000

Test details

Run date: Oct 1, 2026
API provider: openrouter
Requested API model: cohere/north-mini-code:free
Reasoning setting: high
Token limit including reasoning: 8,192 tokens
Output tokens: 4,264 tokens
Cost of the attempt: $0.0000
Response time: 66.3 s
API model reported in response: cohere/north-mini-code:free
Pinned endpoint: Cohere | cohere/north-mini-code-20260617:free
Temperature: Provider default
Test protocol: community-visual-tests-v1
Technical checks: Passed, not a quality rating

Visually reviewed. This individual test does not establish overall model quality.

Task origin: Simon Willison

All benchmark results

Every published result with its source, test setup and comparison models.

Show all 51 published benchmark results

Measurements without matching peer values

These measurements have no matching peer values under the same test conditions. Their original values and sources remain available here.

AutomationBench-AA: Overall (Show measurement, test conditions, and source)

Source value: 1.4912858603711225
Score: 1.4912858603711225
Metric: Objectives completed without guardrail violations
Unit: %
Benchmark version: AA private 657-task split of AutomationBench v1.0.6
Category: agentic
Task: overall
Task label: Overall
Direction: Higher is better
Source type: independent-evaluator
Evaluator: Artificial Analysis
Status: active
Retrieved at: 2026-11-06
Methodology: Exact AA configuration: North Mini Code (release north-mini-code, row north-mini-code, UUID 1e9907e0-ffac-4595-b006-962e4f1da7cf, reasoning=true, effort=not specified, suffix=not specified). This source capture does not provide an average reasoning-token count.. Source model ID: artificial-analysis/1e9907e0-ffac-4595-b006-962e4f1da7cf/north-mini-code/north-mini-code. Source model name: North Mini Code. Provider reported by source: Cohere. Model snapshot: North Mini Code. Evaluator: Artificial Analysis. Dataset type: artificial-analysis-evaluation. Reasoning: reasoning enabled. Score display: 1.5%. Source ID: artificial-analysis. Evidence capture ID: aa-model-page-2026-11-06-ec1194e008b3. Source payload hash: ec1194e008b3638ef60dbf5249daf9e6047364e22905e745a4af64c5f3f080fe. Parser version: artificial-analysis-rsc-models-v4. Imported at: 2026-11-06. Source cohort: artificial-analysis-automationbench-aa:AA private 657-task split of AutomationBench v1.0.6:v5.0.1:reasoning:effort=unspecified:suffix=unspecified
Comparison methodology: Exact AA configuration: North Mini Code (release north-mini-code, row north-mini-code, UUID 1e9907e0-ffac-4595-b006-962e4f1da7cf, reasoning=true, effort=not specified, suffix=not specified). This source capture does not provide an average reasoning-token count.. Reasoning: reasoning enabled

Source Artificial Analysis

CritPt v2 (Hard Subset): Overall (Show measurement, test conditions, and source)

Source value: 1
Score: 1
Metric: pass@1 accuracy
Unit: %
Benchmark version: v2 hard subset, November 2026 grading
Category: reasoning
Task: overall
Task label: Overall
Direction: Higher is better
Source type: independent-evaluator
Evaluator: Artificial Analysis
Status: active
Retrieved at: 2026-11-06
Methodology: Exact AA configuration: North Mini Code (release north-mini-code, row north-mini-code, UUID 1e9907e0-ffac-4595-b006-962e4f1da7cf, reasoning=true, effort=not specified, suffix=not specified). This source capture does not provide an average reasoning-token count.. Source model ID: artificial-analysis/1e9907e0-ffac-4595-b006-962e4f1da7cf/north-mini-code/north-mini-code. Source model name: North Mini Code. Provider reported by source: Cohere. Model snapshot: North Mini Code. Evaluator: Artificial Analysis. Dataset type: artificial-analysis-evaluation. Reasoning: reasoning enabled. Score display: 1.0%. Source ID: artificial-analysis. Evidence capture ID: aa-model-page-2026-11-06-ec1194e008b3. Source payload hash: ec1194e008b3638ef60dbf5249daf9e6047364e22905e745a4af64c5f3f080fe. Parser version: artificial-analysis-rsc-models-v4. Imported at: 2026-11-06. Source cohort: artificial-analysis-critpt-v2-hard-subset:v2 hard subset, November 2026 grading:v5.0.1:reasoning:effort=unspecified:suffix=unspecified
Comparison methodology: Exact AA configuration: North Mini Code (release north-mini-code, row north-mini-code, UUID 1e9907e0-ffac-4595-b006-962e4f1da7cf, reasoning=true, effort=not specified, suffix=not specified). This source capture does not provide an average reasoning-token count.. Reasoning: reasoning enabled
Context: This is the 40-question hard subset of CritPt v2, not the full 70-question CritPt v2 run.

Source Artificial Analysis

CritPt v2: Overall (Show measurement, test conditions, and source)

Source value: 0.28571428571428603
Score: 0.28571428571428603
Metric: pass@1 accuracy
Unit: %
Benchmark version: v2
Category: reasoning
Task: overall
Task label: Overall
Direction: Higher is better
Source type: independent-evaluator
Evaluator: Artificial Analysis
Status: disputed
Retrieved at: 2026-11-02
Methodology: Exact AA configuration: North Mini Code (release north-mini-code, row north-mini-code, UUID 1e9907e0-ffac-4595-b006-962e4f1da7cf, reasoning=true, effort=not specified, suffix=not specified). AA source value for average reasoning tokens before the answer: 2000. Its methodology averages 60 varied prompts and assumes 2,000 when no average is available. This is not a token cap. The full CritPt v2 run covers 70 questions with five repeats. The official grading server reports pass@1.. Source model ID: artificial-analysis/1e9907e0-ffac-4595-b006-962e4f1da7cf/north-mini-code/north-mini-code. Source model name: North Mini Code. Provider reported by source: Cohere. Model snapshot: North Mini Code. Evaluator: Artificial Analysis. Dataset type: artificial-analysis-evaluation. Tool policy: Python functions, symbolic expressions, and numerical answers; official grading server. Attempts: 70 questions, five repeats per question, pass@1. Reasoning: reasoning enabled. Score display: 0.3%. Source ID: artificial-analysis. Evidence capture ID: aa-model-page-2026-11-02-67d46be20a5b. Source payload hash: 67d46be20a5b412db6cfb60ad190441fcaa5513500b8fd47d033168d0e97b6b2. Parser version: artificial-analysis-rsc-models-v3. Imported at: 2026-11-02. Source cohort: artificial-analysis-critpt-v2:v2:standalone:reasoning:effort=unspecified:suffix=unspecified
Comparison methodology: Exact AA configuration: North Mini Code (release north-mini-code, row north-mini-code, UUID 1e9907e0-ffac-4595-b006-962e4f1da7cf, reasoning=true, effort=not specified, suffix=not specified). AA source value for average reasoning tokens before the answer: 2000. Its methodology averages 60 varied prompts and assumes 2,000 when no average is available. This is not a token cap. The full CritPt v2 run covers 70 questions with five repeats. The official grading server reports pass@1.. Tool policy: Python functions, symbolic expressions, and numerical answers; official grading server. Attempts: 70 questions, five repeats per question, pass@1. Reasoning: reasoning enabled
Context: This AA source field contains the original CritPt score. The earlier CritPt v2 attribution was incorrect; the value and former label remain as disputed historical evidence.. The source dataset marks this result as disputed. It remains visible as documented evidence, but is not reliable comparative proof.

Source Artificial Analysis

FrontierCode: Overall (Show measurement, test conditions, and source)

Source value: 0.18760101010101
Score: 0.18760101010101
Metric: Mean score over three attempts per task
Unit: %
Benchmark version: 2.0
Category: coding
Task: overall
Task label: Overall
Direction: Higher is better
Source type: independent-evaluator
Evaluator: Artificial Analysis
Status: active
Retrieved at: 2026-11-06
Methodology: Exact AA configuration: North Mini Code (release north-mini-code, row north-mini-code, UUID 1e9907e0-ffac-4595-b006-962e4f1da7cf, reasoning=true, effort=not specified, suffix=not specified). This source capture does not provide an average reasoning-token count.. Source model ID: artificial-analysis/1e9907e0-ffac-4595-b006-962e4f1da7cf/north-mini-code/north-mini-code. Source model name: North Mini Code. Provider reported by source: Cohere. Model snapshot: North Mini Code. Evaluator: Artificial Analysis. Dataset type: artificial-analysis-evaluation. Reasoning: reasoning enabled. Score display: 0.2%. Source ID: artificial-analysis. Evidence capture ID: aa-model-page-2026-11-06-ec1194e008b3. Source payload hash: ec1194e008b3638ef60dbf5249daf9e6047364e22905e745a4af64c5f3f080fe. Parser version: artificial-analysis-rsc-models-v4. Imported at: 2026-11-06. Source cohort: artificial-analysis-frontiercode-2-0:2.0:v5.0.1:reasoning:effort=unspecified:suffix=unspecified
Comparison methodology: Exact AA configuration: North Mini Code (release north-mini-code, row north-mini-code, UUID 1e9907e0-ffac-4595-b006-962e4f1da7cf, reasoning=true, effort=not specified, suffix=not specified). This source capture does not provide an average reasoning-token count.. Reasoning: reasoning enabled

Source Artificial Analysis

GDP.pdf: Overall (Show measurement, test conditions, and source)

Source value: 1.7999999999999998
Score: 1.7999999999999998
Metric: All-pass rate
Unit: %
Benchmark version: unspecified
Category: reasoning
Task: overall
Task label: Overall
Direction: Higher is better
Source type: independent-evaluator
Evaluator: Artificial Analysis
Status: active
Retrieved at: 2026-11-06
Methodology: Exact AA configuration: North Mini Code (release north-mini-code, row north-mini-code, UUID 1e9907e0-ffac-4595-b006-962e4f1da7cf, reasoning=true, effort=not specified, suffix=not specified). This source capture does not provide an average reasoning-token count.. Source model ID: artificial-analysis/1e9907e0-ffac-4595-b006-962e4f1da7cf/north-mini-code/north-mini-code. Source model name: North Mini Code. Provider reported by source: Cohere. Model snapshot: North Mini Code. Evaluator: Artificial Analysis. Dataset type: artificial-analysis-evaluation. Reasoning: reasoning enabled. Score display: 1.8%. Source ID: artificial-analysis. Evidence capture ID: aa-model-page-2026-11-06-ec1194e008b3. Source payload hash: ec1194e008b3638ef60dbf5249daf9e6047364e22905e745a4af64c5f3f080fe. Parser version: artificial-analysis-rsc-models-v4. Imported at: 2026-11-06. Source cohort: artificial-analysis-gdp-pdf:unspecified:v5.0.1:reasoning:effort=unspecified:suffix=unspecified
Comparison methodology: Exact AA configuration: North Mini Code (release north-mini-code, row north-mini-code, UUID 1e9907e0-ffac-4595-b006-962e4f1da7cf, reasoning=true, effort=not specified, suffix=not specified). This source capture does not provide an average reasoning-token count.. Reasoning: reasoning enabled

Source Artificial Analysis

HLE-Diamond: Overall (Show measurement, test conditions, and source)

Source value: 4.2
Score: 4.2
Metric: pass@1 accuracy
Unit: %
Benchmark version: Diamond
Category: general
Task: overall
Task label: Overall
Direction: Higher is better
Source type: independent-evaluator
Evaluator: Artificial Analysis
Status: active
Retrieved at: 2026-11-06
Methodology: Exact AA configuration: North Mini Code (release north-mini-code, row north-mini-code, UUID 1e9907e0-ffac-4595-b006-962e4f1da7cf, reasoning=true, effort=not specified, suffix=not specified). This source capture does not provide an average reasoning-token count.. Source model ID: artificial-analysis/1e9907e0-ffac-4595-b006-962e4f1da7cf/north-mini-code/north-mini-code. Source model name: North Mini Code. Provider reported by source: Cohere. Model snapshot: North Mini Code. Evaluator: Artificial Analysis. Dataset type: artificial-analysis-evaluation. Reasoning: reasoning enabled. Score display: 4.2%. Source ID: artificial-analysis. Evidence capture ID: aa-model-page-2026-11-06-ec1194e008b3. Source payload hash: ec1194e008b3638ef60dbf5249daf9e6047364e22905e745a4af64c5f3f080fe. Parser version: artificial-analysis-rsc-models-v4. Imported at: 2026-11-06. Source cohort: artificial-analysis-hle-diamond:Diamond:v5.0.1:reasoning:effort=unspecified:suffix=unspecified
Comparison methodology: Exact AA configuration: North Mini Code (release north-mini-code, row north-mini-code, UUID 1e9907e0-ffac-4595-b006-962e4f1da7cf, reasoning=true, effort=not specified, suffix=not specified). This source capture does not provide an average reasoning-token count.. Reasoning: reasoning enabled

Source Artificial Analysis

IFBench: Overall (Show measurement, test conditions, and source)

Source value: 57.5510204081633
Score: 57.5510204081633
Metric: IFBench prompt-level loose accuracy (pass@1)
Unit: %
Benchmark version: AA test set: 294 questions
Category: general
Task: overall
Task label: Overall
Direction: Higher is better
Source type: independent-evaluator
Evaluator: Artificial Analysis
Status: superseded
Retrieved at: 2026-11-02
Methodology: Exact AA configuration: North Mini Code (release north-mini-code, row north-mini-code, UUID 1e9907e0-ffac-4595-b006-962e4f1da7cf, reasoning=true, effort=not specified, suffix=not specified). AA source value for average reasoning tokens before the answer: 2000. Its methodology averages 60 varied prompts and assumes 2,000 when no average is available. This is not a token cap. Artificial Analysis runs 294 questions from the IFBench test set with five repeats per question. The official evaluator scores prompt-level accuracy in loose mode as pass@1.. Source model ID: artificial-analysis/1e9907e0-ffac-4595-b006-962e4f1da7cf/north-mini-code/north-mini-code. Source model name: North Mini Code. Provider reported by source: Cohere. Model snapshot: North Mini Code. Evaluator: Artificial Analysis. Dataset type: artificial-analysis-evaluation. Tool policy: Single-turn answer evaluated with the official IFBench source code. Attempts: pass@1, 5 repeats per question. Reasoning: reasoning enabled. Score display: 57.6%. Source ID: artificial-analysis. Evidence capture ID: aa-model-page-2026-11-02-67d46be20a5b. Source payload hash: 67d46be20a5b412db6cfb60ad190441fcaa5513500b8fd47d033168d0e97b6b2. Parser version: artificial-analysis-rsc-models-v3. Imported at: 2026-11-02. Source cohort: artificial-analysis-ifbench:AA test set: 294 questions:standalone:reasoning:effort=unspecified:suffix=unspecified
Comparison methodology: Exact AA configuration: North Mini Code (release north-mini-code, row north-mini-code, UUID 1e9907e0-ffac-4595-b006-962e4f1da7cf, reasoning=true, effort=not specified, suffix=not specified). AA source value for average reasoning tokens before the answer: 2000. Its methodology averages 60 varied prompts and assumes 2,000 when no average is available. This is not a token cap. Artificial Analysis runs 294 questions from the IFBench test set with five repeats per question. The official evaluator scores prompt-level accuracy in loose mode as pass@1.. Tool policy: Single-turn answer evaluated with the official IFBench source code. Attempts: pass@1, 5 repeats per question. Reasoning: reasoning enabled
Context: The often cited 58 refers to verifiable out-of-domain constraint types, not the number of questions in AA's test run.. This result is retained as historical evidence and is not interchangeable with current results.

Source Artificial Analysis

IFBench: Overall (Show measurement, test conditions, and source)

Source value: 57.5510204081633
Score: 57.5510204081633
Metric: IFBench prompt-level loose accuracy (pass@1)
Unit: %
Benchmark version: AA test set: 294 questions
Category: general
Task: overall
Task label: Overall
Direction: Higher is better
Source type: independent-evaluator
Evaluator: Artificial Analysis
Status: active
Retrieved at: 2026-11-06
Methodology: Exact AA configuration: North Mini Code (release north-mini-code, row north-mini-code, UUID 1e9907e0-ffac-4595-b006-962e4f1da7cf, reasoning=true, effort=not specified, suffix=not specified). This source capture does not provide an average reasoning-token count. Artificial Analysis runs 294 questions from the IFBench test set with five repeats per question. The official evaluator scores prompt-level accuracy in loose mode as pass@1.. Source model ID: artificial-analysis/1e9907e0-ffac-4595-b006-962e4f1da7cf/north-mini-code/north-mini-code. Source model name: North Mini Code. Provider reported by source: Cohere. Model snapshot: North Mini Code. Evaluator: Artificial Analysis. Dataset type: artificial-analysis-evaluation. Tool policy: Single-turn answer evaluated with the official IFBench source code. Attempts: pass@1, 5 repeats per question. Reasoning: reasoning enabled. Score display: 57.6%. Source ID: artificial-analysis. Evidence capture ID: aa-model-page-2026-11-06-ec1194e008b3. Source payload hash: ec1194e008b3638ef60dbf5249daf9e6047364e22905e745a4af64c5f3f080fe. Parser version: artificial-analysis-rsc-models-v4. Imported at: 2026-11-06. Source cohort: artificial-analysis-ifbench:AA test set: 294 questions:standalone:reasoning:effort=unspecified:suffix=unspecified
Comparison methodology: Exact AA configuration: North Mini Code (release north-mini-code, row north-mini-code, UUID 1e9907e0-ffac-4595-b006-962e4f1da7cf, reasoning=true, effort=not specified, suffix=not specified). This source capture does not provide an average reasoning-token count. Artificial Analysis runs 294 questions from the IFBench test set with five repeats per question. The official evaluator scores prompt-level accuracy in loose mode as pass@1.. Tool policy: Single-turn answer evaluated with the official IFBench source code. Attempts: pass@1, 5 repeats per question. Reasoning: reasoning enabled
Context: The often cited 58 refers to verifiable out-of-domain constraint types, not the number of questions in AA's test run.

Source Artificial Analysis

AA-Omniscience Accuracy: Overall (Show measurement, test conditions, and source)

Source value: 18.366666666666667
Score: 18.366666666666667
Metric: AA-Omniscience Accuracy
Unit: %
Benchmark version: AA Omniscience diagnostic
Category: knowledge
Task: overall
Task label: Overall
Direction: Higher is better
Source type: independent-evaluator
Evaluator: Artificial Analysis
Status: active
Retrieved at: 2026-11-06
Methodology: Exact AA configuration: North Mini Code (release north-mini-code, row north-mini-code, UUID 1e9907e0-ffac-4595-b006-962e4f1da7cf, reasoning=true, effort=not specified, suffix=not specified). This source capture does not provide an average reasoning-token count. Proportion of all questions answered correctly, regardless of whether the model answers or abstains on other questions.. Source model ID: artificial-analysis/1e9907e0-ffac-4595-b006-962e4f1da7cf/north-mini-code/north-mini-code. Source model name: North Mini Code. Provider reported by source: Cohere. Model snapshot: North Mini Code. Evaluator: Artificial Analysis. Dataset type: artificial-analysis-evaluation. Attempts: AA-reported aggregate; diagnostic-specific run count is not stated on the leaderboard. Reasoning: reasoning enabled. Score display: 18.4%. Source ID: artificial-analysis. Evidence capture ID: aa-model-page-2026-11-06-ec1194e008b3. Source payload hash: ec1194e008b3638ef60dbf5249daf9e6047364e22905e745a4af64c5f3f080fe. Parser version: artificial-analysis-rsc-models-v4. Imported at: 2026-11-06. Source cohort: artificial-analysis-omniscience-accuracy:AA Omniscience diagnostic:standalone:reasoning:effort=unspecified:suffix=unspecified
Comparison methodology: Exact AA configuration: North Mini Code (release north-mini-code, row north-mini-code, UUID 1e9907e0-ffac-4595-b006-962e4f1da7cf, reasoning=true, effort=not specified, suffix=not specified). This source capture does not provide an average reasoning-token count. Proportion of all questions answered correctly, regardless of whether the model answers or abstains on other questions.. Attempts: AA-reported aggregate; diagnostic-specific run count is not stated on the leaderboard. Reasoning: reasoning enabled
Context: This is the separately published accuracy diagnostic, not the AA-Omniscience Index. AA identifies higher values as better.

Source Artificial Analysis

AA-Omniscience Hallucination Rate: Overall (Show measurement, test conditions, and source)

Source value: 83.50347080440996
Score: 83.50347080440996
Metric: AA-Omniscience Hallucination Rate
Unit: %
Benchmark version: AA Omniscience diagnostic
Category: knowledge
Task: overall
Task label: Overall
Direction: Lower is better
Source type: independent-evaluator
Evaluator: Artificial Analysis
Status: active
Retrieved at: 2026-11-06
Methodology: Exact AA configuration: North Mini Code (release north-mini-code, row north-mini-code, UUID 1e9907e0-ffac-4595-b006-962e4f1da7cf, reasoning=true, effort=not specified, suffix=not specified). This source capture does not provide an average reasoning-token count. Proportion of incorrect answers among all non-correct responses: incorrect / (incorrect + partial answers + not attempted).. Source model ID: artificial-analysis/1e9907e0-ffac-4595-b006-962e4f1da7cf/north-mini-code/north-mini-code. Source model name: North Mini Code. Provider reported by source: Cohere. Model snapshot: North Mini Code. Evaluator: Artificial Analysis. Dataset type: artificial-analysis-evaluation. Attempts: AA-reported aggregate; diagnostic-specific run count is not stated on the leaderboard. Reasoning: reasoning enabled. Score display: 83.5%. Source ID: artificial-analysis. Evidence capture ID: aa-model-page-2026-11-06-ec1194e008b3. Source payload hash: ec1194e008b3638ef60dbf5249daf9e6047364e22905e745a4af64c5f3f080fe. Parser version: artificial-analysis-rsc-models-v4. Imported at: 2026-11-06. Source cohort: artificial-analysis-omniscience-hallucination-rate:AA Omniscience diagnostic:standalone:reasoning:effort=unspecified:suffix=unspecified
Comparison methodology: Exact AA configuration: North Mini Code (release north-mini-code, row north-mini-code, UUID 1e9907e0-ffac-4595-b006-962e4f1da7cf, reasoning=true, effort=not specified, suffix=not specified). This source capture does not provide an average reasoning-token count. Proportion of incorrect answers among all non-correct responses: incorrect / (incorrect + partial answers + not attempted).. Attempts: AA-reported aggregate; diagnostic-specific run count is not stated on the leaderboard. Reasoning: reasoning enabled
Context: This is the separately published hallucination-rate diagnostic, not the AA-Omniscience Index. AA identifies lower values as better.

Source Artificial Analysis

Terminal-Bench: Overall (Show measurement, test conditions, and source)

Source value: 0.505050505050505
Score: 0.505050505050505
Metric: Task success
Unit: %
Benchmark version: 4.0
Category: coding
Task: overall
Task label: Overall
Direction: Higher is better
Source type: independent-evaluator
Evaluator: Artificial Analysis
Status: active
Retrieved at: 2026-11-06
Methodology: Exact AA configuration: North Mini Code (release north-mini-code, row north-mini-code, UUID 1e9907e0-ffac-4595-b006-962e4f1da7cf, reasoning=true, effort=not specified, suffix=not specified). This source capture does not provide an average reasoning-token count.. Source model ID: artificial-analysis/1e9907e0-ffac-4595-b006-962e4f1da7cf/north-mini-code/north-mini-code. Source model name: North Mini Code. Provider reported by source: Cohere. Model snapshot: North Mini Code. Evaluator: Artificial Analysis. Dataset type: artificial-analysis-evaluation. Reasoning: reasoning enabled. Score display: 0.5%. Source ID: artificial-analysis. Evidence capture ID: aa-model-page-2026-11-06-ec1194e008b3. Source payload hash: ec1194e008b3638ef60dbf5249daf9e6047364e22905e745a4af64c5f3f080fe. Parser version: artificial-analysis-rsc-models-v4. Imported at: 2026-11-06. Source cohort: artificial-analysis-terminal-bench-4:4.0:v5.0.1:reasoning:effort=unspecified:suffix=unspecified
Comparison methodology: Exact AA configuration: North Mini Code (release north-mini-code, row north-mini-code, UUID 1e9907e0-ffac-4595-b006-962e4f1da7cf, reasoning=true, effort=not specified, suffix=not specified). This source capture does not provide an average reasoning-token count.. Reasoning: reasoning enabled

Source Artificial Analysis

Terminal-Bench-Science: Overall (Show measurement, test conditions, and source)

Source value: 0
Score: 0
Metric: pass@1 task success rate
Unit: %
Benchmark version: 0.1.0
Category: reasoning
Task: overall
Task label: Overall
Direction: Higher is better
Source type: independent-evaluator
Evaluator: Artificial Analysis
Status: active
Retrieved at: 2026-11-06
Methodology: Exact AA configuration: North Mini Code (release north-mini-code, row north-mini-code, UUID 1e9907e0-ffac-4595-b006-962e4f1da7cf, reasoning=true, effort=not specified, suffix=not specified). This source capture does not provide an average reasoning-token count.. Source model ID: artificial-analysis/1e9907e0-ffac-4595-b006-962e4f1da7cf/north-mini-code/north-mini-code. Source model name: North Mini Code. Provider reported by source: Cohere. Model snapshot: North Mini Code. Evaluator: Artificial Analysis. Dataset type: artificial-analysis-evaluation. Reasoning: reasoning enabled. Score display: 0.0%. Source ID: artificial-analysis. Evidence capture ID: aa-model-page-2026-11-06-ec1194e008b3. Source payload hash: ec1194e008b3638ef60dbf5249daf9e6047364e22905e745a4af64c5f3f080fe. Parser version: artificial-analysis-rsc-models-v4. Imported at: 2026-11-06. Source cohort: artificial-analysis-terminal-bench-science:0.1.0:v5.0.1:reasoning:effort=unspecified:suffix=unspecified
Comparison methodology: Exact AA configuration: North Mini Code (release north-mini-code, row north-mini-code, UUID 1e9907e0-ffac-4595-b006-962e4f1da7cf, reasoning=true, effort=not specified, suffix=not specified). This source capture does not provide an average reasoning-token count.. Reasoning: reasoning enabled

Source Artificial Analysis

Page 1 of 5

Popularity compared

How often the model is searched for, used and mentioned, compared with every model of its category.

Popularity index

The 100 most popular models of this category, 0 to 100, higher is more popular

20 of 101 models

GPT-573

DeepSeek V4.1 Flash 101768

Kimi K368

DiffusionGemma 26B A4B IT63

North Mini Code35

DeepSeek V4.1 Flash 1017

DiffusionGemma 26B A4B IT

Claude Opus 5

Qwen 3.8 Flash

North Mini Code

As of November 2026 · Source: gradually.ai popularity index

Over time

Weekly values from October 18, 2026 to November 5, 2026

North Mini CodeLlama 3.1 Nemotron 70B InstructMiMo-V2.5-ProLlama 3.1 70B InstructLongCat 2.0

All specifications

Architecture

Parameters: 30 billion; Source: Parameters
Active parameters: 3 billion; Source: Active parameters
Knowledge Cutoff: September 2025; Source: Knowledge Cutoff

Input and output

Context window: 256,000 tokens; Source: Context window
Maximum output: 64,000 tokens; Source: Maximum output
Inputs: Text; Source: Inputs
Outputs: Text; Source: Outputs
Reasoning: Yes; Source: Reasoning
Tool calling: Yes; Source: Tool calling

Watermarking and provenance

AI watermarking refers to invisible signals embedded in the output. Visible marks and provenance metadata are listed separately. Unknown means there is insufficient evidence for that particular field.

AI watermarking: Unknown; no source
Watermarking technique: Not known; no source

Licence and access

Weights: Open weights; Source: Weights
Access: API; Source: Access
License: Apache 2.0; Source: License

Frequently asked questions about North Mini Code

What is the knowledge cutoff of North Mini Code?

September 2025, according to Cohere. That is 9 months before release.

Stated by Cohere

SepNovJanMarMayKnowledge cutoffSeptember 2025ReleasedJun 9, 2026

How large is the context window of North Mini Code?

256,000 tokens. That is how much text North Mini Code reads at once, about 380 A4 pages.

Page count as a rule of thumb from Artificial Analysis

Context windowTokens the model reads at once · higher is better

Kimi K2.6262K

Qwen 3.8 27B262K

Kimi K2.7 Code262K

Kimi K2.5262K

Kimi K2 Thinking262K

Mistral Medium 3.5262K

North Mini CodeRank 76 of 102256K

How fast is North Mini Code?

116 tokens per second. That is faster than a typical model at 87.

Measured by Artificial Analysis on Nov 6, 2026. AA 3.0.0, including time to first token, averaged across available workloads and five days.

SpeedTokens per second · higher is better

Gemini 3.1 Pro Preview122

Muse Spark 1.3120

GPT-4.1119

North Mini CodeRank 31 of 101116

Gemini 3.8 Flash115

MiniMax M3112

GPT-6 Sol111

Can I run North Mini Code locally?

Yes, the weights are open.

Stated by Cohere

Open weights: yes
License: Apache 2.0
Parameters: 30B
active per token: 3B

Sources and data date

Show all 34 sources

Benchmark sources at a glance

Which independent evaluators tested this model. This is coverage, not a quality ranking.

Evaluator	Test series	Composite indices	Recorded active measurements
Artificial Analysis	16	0	25

Without vendor claims and historical or disputed results; those stay labelled in the single values.

Type	Evidence and data date
Speed	Cohere, Reasoning enabled; effort unspecified. AA 3.0.0, including time to first token, averaged across available workloads and five days. Retrieved November 6, 2026. Source: Artificial Analysis · Artificial Analysis, North Mini Code model page (retrieved October 17, 2026)Speed measurement methodology
Input	Documented modalities. Retrieved October 27, 2026. Source: models.dev catalog · models.dev catalog (retrieved October 27, 2026)
Output	Documented modalities. Retrieved October 27, 2026. Source: models.dev catalog · models.dev catalog (retrieved October 27, 2026)
Research status	Research date October 15, 2026. 11 source URLs checked. This documents the inspected sources, not an exhaustive inventory of every publication.
Not published	benchmark-version-details Note Model card identifies the benchmark variants and harnesses, but not all task snapshots or table units; no percent conversion is applied.
Additional source	Hugging Face · Cohere North Mini Code model card · Editorial description reviewed October 2, 2026
Additional source	Artificial Analysis (retrieved November 6, 2026)1 2 3 4 5 6 7 8 9 10
Additional source	Artificial Analysis (retrieved November 2, 2026)
Additional source	Artificial Analysis (retrieved October 29, 2026; November 2, 2026; November 6, 2026)
Additional source	Artificial Analysis (retrieved November 2, 2026; November 6, 2026)
Additional source	Cohere North Mini Code official Hugging Face eval-results YAML (retrieved October 15, 2026)1 2 3
Additional source	Cohere North Mini Code official model-card chart (retrieved October 15, 2026)
Additional source	Cohere, Inside the megakernel serving engine for North Mini Code, Accuracy table (retrieved October 18, 2026; October 24, 2026)
Additional source	Artificial Analysis, North Mini Code release article (retrieved October 19, 2026)
Additional source	Cohere Labs (retrieved October 20, 2026)
Additional source	Cohere (retrieved October 23, 2026)
Additional source	Model metadata (retrieved October 15, 2026)
Additional source	Model metadata (retrieved October 18, 2026)
Additional source	Cohere current model overview · Editorial description reviewed October 2, 2026
Additional source	OpenRouter: Popularity index (derived), CC BY 4.0
Additional source	Vercel AI Gateway: Popularity index (derived), CC BY 4.0
Additional source	Ollama: cumulative downloads for the popularity index
Additional source	Replicate: cumulative runs for the popularity index
Additional source	Google Trending Now: limited feed selection for Germany and the US
Additional source	Creative Commons Attribution 4.0