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North Mini Code (free)

Coherehuggingface.co/CohereLabs/North-Mini-Code-1.0

Open in Graph
data quality67

Updated 3 h ago · first seen 11 Sept 2026

model_01M294WVWTMVFWBHFME6TCE338

Overview

Identity

Canonical model
Yesidentity confidence: mediumOne row per real model release. Artifacts (checkpoints, quantisations, conversions) and folded evaluation variants point here.
Official checkpoints
official_checkpoints = hf_repo identifiers carried by the model itself; artifacts are separate entities pointing here through canonical_id.
Artifacts
None recordedSeparate entities (checkpoint · quantization · conversion · packaging) pointing to this model through canonical_id.
Provider deployments
2
API aliases
cohere/north-mini-codenorth-mini-codeIdentifiers under which providers and evaluators refer to this model.
Folded evaluation variants
0Effort / thinking variants (…-high, …-non-reasoning) are result configurations of this model, not separate models. Their old URLs redirect here.

Openness

Open weightsweights downloadable under Apache-2.0; commercial use allowed; redistribution allowed; derivatives allowed; 4 dimensions unknown.

Weights downloadable under a permissive or Creative Commons licence allowing commercial use; code or data may be missing.

  • Weights

    Yes

  • Inference code

  • Training code

  • Training data

  • Dataset

  • Commercial use

    Yes

  • Redistribution

    Yes

  • Derivatives

    Yes

Licence: Apache License 2.0 (permissive · SPDX Apache-2.0 · stated as “apache-2.0”)

dimensions marked null are unknown, not false

Key facts

Release date

Source:Hugging Face Hub (public pages, model cards, papers)T2observed 12 h agomedium

Openrouter id

Source:OpenRouter public model & pricing listingT2observed 13 h agomedium

Architecture

Architecture

Source:Hugging Face Hub (public pages, model cards, papers)T2observed 12 h agomedium

Model type

Source:Hugging Face Hub (public pages, model cards, papers)T2observed 12 h agomedium

Parameters

Source:Hugging Face Hub (public pages, model cards, papers)T2observed 13 h agomedium

Weights dtype

Source:Hugging Face Hub (public pages, model cards, papers)T2observed 12 h agomedium

File size

Source:Hugging Face Hub (public pages, model cards, papers)T2observed 12 h agomedium

Library name

Source:Hugging Face Hub (public pages, model cards, papers)T2observed 12 h agomedium

Pipeline tag

Source:Hugging Face Hub (public pages, model cards, papers)T2observed 13 h agomedium

Hugging Face repo

Source:OpenRouter public model & pricing listingT2observed 13 h agomedium

Capabilities

Modalities

Modalities unavailable.

Capabilities

  • Tool calling

    Unavailable

  • Structured output

    Unavailable

  • Reasoning

    Yes

    Artificial Analysis · T2

  • Vision

    Unavailable

  • Audio

    Unavailable

  • Fine-tuning available

    Unavailable

Context window

Source:Artificial AnalysisT2observed 11 h agomedium

Comparable same task and conditions · Partially comparable same task, conditions differ (effort, temperature, judge) · Not comparable different variant or metric

Benchmark results grouped by comparability group
Benchmark · groupBest scoreTrustConfigurationResultsvs leaderEvaluatedSource
Terminal-Benchagentic · accuracy · variant=hard · evaluator=Artificial AnalysisIndependentevaluatorArtificial Analysisvarianthardreasoningonconditions differ across rows → partially comparable2−34.8 ptvs gpt-5.6-solobs. 12 Sept 2026artificialanalysis.aiT2
Terminal-Benchagentic · accuracy · variant=v4.0 · evaluator=Artificial AnalysisIndependentevaluatorArtificial Analysisvariantv4.0reasoningonconditions differ across rows → partially comparable2non-primary groupobs. 12 Sept 2026artificialanalysis.aiT2
Terminal-Benchagentic · accuracy · variant=v2.1 · evaluator=Artificial AnalysisIndependentevaluatorArtificial Analysisvariantv2.1reasoningonconditions differ across rows → partially comparable2non-primary groupobs. 12 Sept 2026artificialanalysis.aiT2
τ²-benchagentic · pass^1 · variant=Telecom · evaluator=Artificial AnalysisIndependentevaluatorArtificial AnalysisvariantTelecomreasoningonconditions differ across rows → partially comparable1non-primary groupobs. 12 Sept 2026artificialanalysis.aiT2
τ²-benchagentic · pass^1 · evaluator=Artificial AnalysisIndependentevaluatorArtificial Analysis1−61.7 ptvs Z.ai GLM 5.2obs. 11 Sept 2026artificialanalysis.aiT2
SciCodecoding · accuracy · evaluator=Artificial AnalysisIndependentevaluatorArtificial Analysisreasoningonconditions differ across rows → partially comparable2−24.3 ptvs Claude Fable 5.1obs. 12 Sept 2026artificialanalysis.aiT2
Artificial Analysis Intelligence Indexcomposite · indexIndependentreasoningonversion4.3conditions differ across rows → partially comparable2−40.5vs Claude Fable 5.1obs. 12 Sept 2026artificialanalysis.aiT2
IFBenchinstruction-following · accuracy · evaluator=Artificial AnalysisIndependentevaluatorArtificial Analysisreasoningonconditions differ across rows → partially comparable2−25.8 ptvs Grok 4.3obs. 12 Sept 2026artificialanalysis.aiT2
Humanity's Last Examknowledge · accuracy · evaluator=Artificial AnalysisIndependentevaluatorArtificial Analysisreasoningonconditions differ across rows → partially comparable2−48.1 ptvs Claude Fable 5.1obs. 12 Sept 2026artificialanalysis.aiT2
GPQA Diamondreasoning · accuracy · variant=Diamond · evaluator=Artificial AnalysisIndependentevaluatorArtificial AnalysisvariantDiamondreasoningonconditions differ across rows → partially comparable1non-primary groupobs. 12 Sept 2026artificialanalysis.aiT2
GPQA Diamondreasoning · accuracy · variant=GPQA Diamond · evaluator=Artificial AnalysisIndependentevaluatorArtificial AnalysisvariantGPQA Diamond1−20.6 ptvs gpt-6-astraobs. 11 Sept 2026artificialanalysis.aiT2

Current rows only, grouped by benchmark → canonical metric → comparability group (task configuration). Effort variants folded into this model appear as rows of the same group. 18 current rows in total. “vs leader” compares with the current leader of the benchmark's primary group only; other groups are not directly comparable. Comparability rules →

Provider deployments, cheapest output first
ProviderContextInput / 1MOutput / 1MStatusObservedSource
Cohere APIcheapest outputcohere/north-mini-code:free256Kout 64Kactive3 h agosince 11 Sept 2026openrouter.aiT2
OpenRoutercohere/north-mini-code:free256Kout 64Kactive19 min agosince 12 Sept 2026openrouter.aiT2

USD per 1M tokens as published by each provider; native units (per-request fees, flex/priority tiers) are kept verbatim. Rows are append-only — every price change is kept in the history below. Cost of a workload →

Price history

Step lines per provider; amber markers are recorded changes. Click a marker or a row for the evidence behind that price.

Output price · USD / 1M tokens 2 providers

Output price history of North Mini Code (free)$0$0.20$0.40$0.60$0.80$1Sept 26Sept 26Sept 26Sept 26Cohere API: first observed → $0 · 11 Sept 2026OpenRouter: first observed → $0 · 12 Sept 2026
  • Cohere API
  • OpenRouter
  • OpenRouterfirst observed $012 Sept 2026
  • Cohere APIfirst observed $011 Sept 2026

Input price · USD / 1M tokens 2 providers

Input price history of North Mini Code (free)$0$0.20$0.40$0.60$0.80$1Sept 26Sept 26Sept 26Sept 26Cohere API: first observed → $0 · 11 Sept 2026OpenRouter: first observed → $0 · 12 Sept 2026
  • Cohere API
  • OpenRouter
  • OpenRouterfirst observed $012 Sept 2026
  • Cohere APIfirst observed $011 Sept 2026

Hardware fit37

Estimated

36 of 37 device × quantization combinations fit.

Run locally: your machine →
Estimated hardware fit
HardwareQuantizationDevice memoryEst. memoryFits
Apple M3 Ultra4bit18.0 GB est.Yes
Mac Studio (Apple M5 Ultra)4bit18.0 GB est.Yes
Apple M2 Ultra4bit18.0 GB est.Yes
Apple M1 Ultra4bit18.0 GB est.Yes
Apple M3 Max4bit18.0 GB est.Yes
Apple M4 Max4bit18.0 GB est.Yes
Mac Studio (Apple M5 Max)4bit18.0 GB est.Yes
MacBook Pro (Apple M5 Max)4bit18.0 GB est.Yes
Apple M2 Max4bit18.0 GB est.Yes
Apple M1 Max4bit18.0 GB est.Yes
Apple M4 Pro4bit18.0 GB est.Yes
Mac mini (Apple M5 Pro)4bit18.0 GB est.Yes
MacBook Pro (Apple M5 Pro)4bit18.0 GB est.Yes
Apple M3 Pro4bit18.0 GB est.Yes
Apple M1 Pro4bit18.0 GB est.Yes
Apple M2 Pro4bit18.0 GB est.Yes
Apple M44bit18.0 GB est.Yes
iMac (Apple M4)4bit18.0 GB est.Yes
Mac mini (Apple M6)4bit18.0 GB est.Yes
MacBook Air (Apple M5)4bit18.0 GB est.Yes
MacBook Pro (Apple M5)4bit18.0 GB est.Yes
Apple M24bit18.0 GB est.Yes
Apple M34bit18.0 GB est.Yes
NVIDIA GeForce RTX 30904bit24 GB18.0 GB est.Yes
NVIDIA GeForce RTX 40904bit24 GB18.0 GB est.Yes
NVIDIA GeForce RTX 50904bit32 GB18.0 GB est.Yes
NVIDIA A100 80GB4bit80 GB18.0 GB est.Yes
NVIDIA H100 SXM4bit80 GB18.0 GB est.Yes
NVIDIA H100 NVL4bit94 GB18.0 GB est.Yes
NVIDIA DGX Spark4bit128 GB18.0 GB est.Yes
NVIDIA H2004bit141 GB18.0 GB est.Yes
NVIDIA H200 NVL4bit141 GB18.0 GB est.Yes
NVIDIA B2004bit180 GB18.0 GB est.Yes
AMD Instinct MI300X4bit192 GB18.0 GB est.Yes
AMD Instinct MI325X4bit256 GB18.0 GB est.Yes
NVIDIA DGX B2004bit1,440 GB18.0 GB est.Yes
Apple M14bit18.0 GB est.No
Assumptions (7)
  • Estimated, not measured: weights = parameters × bytes/param × 1.15 runtime overhead (or the observed artifact file size when one is recorded).
  • bytes/param: 4bit = 0.5, 8bit = 1.0, fp16 = 2.0 (uniform quantization, no per-layer exceptions).
  • KV cache: 2 × layers × kv_heads × head_dim × 2 bytes × context × batch when the architecture is known; otherwise 0.5 GB per 8 192 tokens (× batch), independent of architecture (GQA/MLA models need less).
  • A model 'fits' when the estimate is at most the device memory minus 2 GB reserved for the OS and framework.
  • Mixture-of-experts models are estimated on total parameters (all experts must be resident); active parameters are ignored.
  • Device memory uses the largest configuration when several are listed (e.g. Apple silicon tiers).
  • Multi-GPU: device memories are summed; interconnect bandwidth, tensor-parallel replication and pipeline bubbles are not modelled.

Versions & Artifacts0

Version history

Context windowfirst observation only

11 Sept 2026current

Licensefirst observation only

11 Sept 2026current

Opennessfirst observation only

11 Sept 2026current

Parametersfirst observation only

11 Sept 2026current

Each hop is a claim: click a value for its source, tier and observation time. Nothing is overwritten — a new observation closes the previous claim.

Artifacts 0

No artifact (checkpoint, quantisation, conversion or packaging) points to this model yet.

Change history29

Temporal, append-only claims: a new observation closes the previous claim instead of overwriting it. Rewind the record with the as-of picker.

Viewing AI Atlas as of 12 Aug 2026 — attributes exactly as the atlas knew them on that day; later corrections are not shown.

Back to today →

North Mini Code (free) was not yet in AI Atlas on 12 Aug 2026

First seen 11 Sept 2026. Nothing is inferred backwards: no attribute is shown for dates before the first observation.
29 claims · 28 properties

Release daterelease_date1

Claim history for Release date
ValueValid from → toStatusSourceConfidenceExtractor
5 Jun 2026currentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic

Opennessopenness1

Claim history for Openness
ValueValid from → toStatusSourceConfidenceExtractor
open-weightscurrentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic

Licenselicense1

Claim history for License
ValueValid from → toStatusSourceConfidenceExtractor
Apache-2.0currentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic

Architecturearchitecture1

Claim history for Architecture
ValueValid from → toStatusSourceConfidenceExtractor
Cohere2MoeForCausalLMcurrentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic

Parametersparameter_count1

Claim history for Parameters
ValueValid from → toStatusSourceConfidenceExtractor
30.5BcurrentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic

Context windowcontext_length1

Claim history for Context window
ValueValid from → toStatusSourceConfidenceExtractor
256K tokenscurrentcurrentArtificial AnalysisT2mediumdeterministic

File sizefile_size_gb1

Claim history for File size
ValueValid from → toStatusSourceConfidenceExtractor
61.0 GBcurrentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic

Hugging Face repohf_repo1

Claim history for Hugging Face repo
ValueValid from → toStatusSourceConfidenceExtractor
CohereLabs/North-Mini-Code-1.0currentcurrentOpenRouter public model & pricing listingT2mediumdeterministic

Pipeline tagpipeline_tag1

Claim history for Pipeline tag
ValueValid from → toStatusSourceConfidenceExtractor
text-generationcurrentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic

Model cardmodel_card_url1

Claim history for Model card
ValueValid from → toStatusSourceConfidenceExtractor
https://huggingface.co/CohereLabs/North-Mini-Code-1.0currentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic

Downloadsmetric.downloads1

Claim history for Downloads
ValueValid from → toStatusSourceConfidenceExtractor
11,283currentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic

Likesmetric.likes1

Claim history for Likes
ValueValid from → toStatusSourceConfidenceExtractor
565currentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic

Aa context windowaa_context_window1

Claim history for Aa context window
ValueValid from → toStatusSourceConfidenceExtractor
256,000 tokenscurrentcurrentArtificial AnalysisT2mediumdeterministic

Aa opennessaa_openness1

Claim history for Aa openness
ValueValid from → toStatusSourceConfidenceExtractor
open-weightscurrentcurrentArtificial AnalysisT2mediumdeterministic

Commercial use allowedcommercial_use_allowed1

Claim history for Commercial use allowed
ValueValid from → toStatusSourceConfidenceExtractor
YescurrentcurrentAI Atlas curated registry (YAML, versioned in git, every entry carries its source URL)T2highderived

Derivatives allowedderivatives_allowed1

Claim history for Derivatives allowed
ValueValid from → toStatusSourceConfidenceExtractor
YescurrentcurrentAI Atlas curated registry (YAML, versioned in git, every entry carries its source URL)T2highderived

Gatedgated1

Claim history for Gated
ValueValid from → toStatusSourceConfidenceExtractor
NocurrentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic

Last modifiedlast_modified1

Claim history for Last modified
ValueValid from → toStatusSourceConfidenceExtractor
2026-06-15T04:32:41+00:00currentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic

Library namelibrary_name1

Claim history for Library name
ValueValid from → toStatusSourceConfidenceExtractor
transformerscurrentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic

Aa median output tokens per secondmetric.aa_median_output_tokens_per_second2

Claim history for Aa median output tokens per second
ValueValid from → toStatusSourceConfidenceExtractor
70.5currentcurrentArtificial AnalysisT2mediumdeterministic
70.6supersededArtificial AnalysisT2mediumdeterministic

Downloads all timemetric.downloads_all_time1

Claim history for Downloads all time
ValueValid from → toStatusSourceConfidenceExtractor
77,467currentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic

Model typemodel_type1

Claim history for Model type
ValueValid from → toStatusSourceConfidenceExtractor
cohere2_moecurrentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic

Openrouter idopenrouter_id1

Claim history for Openrouter id
ValueValid from → toStatusSourceConfidenceExtractor
cohere/north-mini-codecurrentcurrentOpenRouter public model & pricing listingT2mediumdeterministic

Reasoningreasoning1

Claim history for Reasoning
ValueValid from → toStatusSourceConfidenceExtractor
YescurrentcurrentArtificial AnalysisT2mediumdeterministic

Redistribution allowedredistribution_allowed1

Claim history for Redistribution allowed
ValueValid from → toStatusSourceConfidenceExtractor
YescurrentcurrentAI Atlas curated registry (YAML, versioned in git, every entry carries its source URL)T2highderived

Tagstags1

Claim history for Tags
ValueValid from → toStatusSourceConfidenceExtractor
transformers, safetensors, cohere2_moe, text-generation, chat, code, agentcurrentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic

Weights availableweights_available1

Claim history for Weights available
ValueValid from → toStatusSourceConfidenceExtractor
YescurrentcurrentAI Atlas curated registry (YAML, versioned in git, every entry carries its source URL)T2highderived

Weights dtypeweights_dtype1

Claim history for Weights dtype
ValueValid from → toStatusSourceConfidenceExtractor
BF16currentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic

Claims are temporal and append-only: a new observation closes the previous claim (valid_to) instead of overwriting it. Conflicting claims from different sources are kept side by side and flagged — never averaged. Methodology →

Provenance

Attributed facts

29

Source tiers

T229

Freshest observation

3 h ago

Conflicts

None

Source documents 5

Source documents
SourceDocumentTypeTierLast observedSnapshots
OpenRouter public model & pricing listingopenrouter.ai/api/v1/models catalogueT2· Quality secondary19 min ago10
Artificial Analysisartificialanalysis.ai/leaderboards/models leaderboardT2· Quality secondary3 h ago2
Hugging Face Hub (public pages, model cards, papers)huggingface.co/models?author=CohereLabs&p=0&sort=downloads listingT2· Quality secondary3 h ago7
Hugging Face Hub (public pages, model cards, papers)huggingface.co/CohereLabs/North-Mini-Code-1.0/raw/main/README.md model_cardT2· Quality secondary6 h ago1
Hugging Face Hub (public pages, model cards, papers)huggingface.co/CohereLabs/North-Mini-Code-1.0 model_pageT2· Quality secondary7 h ago4

Tier 1 = official/primary, 2 = quality secondary, 3 = community, 4 = unverified. Every snapshot is archived; see all sources and the methodology.

Data quality (67/100) measures how well AI Atlas knows this entity — completeness, primary-source ratio, freshness, conflicts — never how good the model is. Methodology →