LLM Pricing
PricingLeaderboardsToolsProvidersReleasesGuides

© 2026 LLM Pricing

About
·Contact
·Privacy
·RSS
← Model list

North Mini Code

cohere·cohere/north-mini-code-1-0·GA·Open weights·north series
Cohere coding model for practical software engineering and agentic edits

North Mini Code by cohere is currently listed from a single provider. Its official list price is $0 per 1M tokens. It also has 1 free ($0) channel; free tiers usually carry rate limits, and subscription-covered access bills $0 per token only after the subscription fee.

Artificial Analysis rates it 9.9 on the Intelligence Index, with 36.5 for coding and 1.1 for agentic tasks. Median output speed is 92 tokens per second, with 0.42s to the first token.

The context window is 256,000 tokens, with an output limit of 64,000 tokens. It supports reasoning, tool use, and structured output. The weights are open, so it can also be self-hosted or served through a gateway of your choice. Its training knowledge cuts off at 2025-09-23.

Specs & pricing

Input / output per 1M tokens
Official price·Cohere
$0 / $0
Blended $0 · Cache read —
Lowest paid
No paid channels
1 more $0 channels
Context
256,000
Output limit
64,000
Knowledge cutoff
2025-09-23
Released / updated
2026-06-09 / 2026-06-09
Capabilities
✓ Reasoning✓ Tool use✓ Structured output✓ TemperatureAttachments
Modalities
Text

Quality & performanceArtificial Analysis · Intelligence Index v4.3

Intelligence9.9
Value—
Coding36.5
Agentic1.1
Output speed92 tok/s
TTFT0.42 s

Quality is independently evaluated by Artificial Analysis. Speed/latency are model-level medians.

Available at 1 providers0 with public prices · 1 free

ProviderTierInputOutputCache readCache writeContextOutput limitStatus
CohereOfficialFirst-partyFree——256,00064,000

Sorted by blended price (input×0.75 + output×0.25) asc. The official channel always shows regardless of rank. Whether a gateway's low price is actually usable can't be verified.

Reasoning control

effort = noneeffort = high

Interleaved thinking (reasoning between tool calls) is declared by 1 of 1 providers.

Your usage cost

This model is $0 across all listed channels (Cohere).

Price historyone sample accumulated per data sync

Input listOutput listMin blended
$0.0001$02026-08-052026-08-132026-08-05 · Input list $02026-08-06 · Input list $02026-08-07 · Input list $02026-08-08 · Input list $02026-08-09 · Input list $02026-08-10 · Input list $02026-08-11 · Input list $02026-08-12 · Input list $02026-08-13 · Input list $02026-08-05 · Output list $02026-08-06 · Output list $02026-08-07 · Output list $02026-08-08 · Output list $02026-08-09 · Output list $02026-08-10 · Output list $02026-08-11 · Output list $02026-08-12 · Output list $02026-08-13 · Output list $0

Benchmark6 items

NameConditionsScoreMetricSource
SWE-Bench Verifiedharness: SWE-agent67.6resolvedSource ↗
SWE-Bench Proharness: SWE-agent40.2resolve rateSource ↗
Artificial Analysis Intelligence Index—27.6index scoreSource ↗
Artificial Analysis Coding Index—33.4index scoreSource ↗
GDPval-AA—14win rateSource ↗
τ²-Bench Telecom—37success rateSource ↗

The same benchmark scores very differently across harness / dataset, so the qualifying conditions must be shown together.

Artificial Analysis evaluations9 items

GPQA Diamond75.7%
Humanity's Last Exam11.1%
SciCode38.8%
Terminal-Bench Hard31.1%
Terminal-Bench 2.135.6%
τ²-Bench Telecom37.4%
τ³-Bench Banking6.4%
AA-LCR37.3%
IFBench57.6%

Individual evaluations run by Artificial Analysis, on the same reasoning tier as the intelligence score above. Each benchmark has its own task set and harness, so rows are not comparable with one another. The Intelligence Index above draws on a different, newer set of evaluations.

Related models

North Small Translatesame series$0 / $0
Data partly from models.dev (MIT) · Cohere official docs ↗