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North Mini Code
cohere·cohere/north-mini-code-1-0·GA·Open weights·north series·NEW
Cohere coding model for practical software engineering and agentic edits
At a glance
Official price$0 / $0 per 1M
Cache read — · Cohere
Lowest paidNo paid channels
1 more $0 channels
Context256,000
Output limit64,000
Capabilities
✓ Reasoning✓ Tool use✓ Structured output✓ TemperatureAttachments
Modalities
Text
Knowledge cutoff2025-09-23
Released / updated2026-06-09 / 2026-06-09
Quality & performanceArtificial Analysis · Intelligence Index v4.1
Intelligence20.2
Value—
Coding36.5
Agentic3.1
Output speed26 tok/s
TTFT0.49 s
Cost per task$0
Quality is independently evaluated by Artificial Analysis. Speed/latency are model-level medians.
Available at 1 providers0 with public prices · 1 free
| Provider | Tier | Input | Output | Cache read | Cache write | Context | Output limit | Status |
|---|---|---|---|---|---|---|---|---|
| CohereOfficial | First-party | Free | — | — | 256,000 | 64,000 |
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.
Your usage cost
This model is $0 across all listed channels (Cohere).
Benchmark6 items
| Name | Conditions | Score | Metric | Source |
|---|---|---|---|---|
| SWE-Bench Verified | harness: SWE-agent | 67.6 | resolved | Source ↗ |
| SWE-Bench Pro | harness: SWE-agent | 40.2 | resolve rate | Source ↗ |
| Artificial Analysis Intelligence Index | — | 27.6 | index score | Source ↗ |
| Artificial Analysis Coding Index | — | 33.4 | index score | Source ↗ |
| GDPval-AA | — | 14 | win rate | Source ↗ |
| τ²-Bench Telecom | — | 37 | success rate | Source ↗ |
The same benchmark scores very differently across harness / dataset, so the qualifying conditions must be shown together.
Reasoning control
effort = noneeffort = high
Related models
Price historyone sample accumulated per data sync
Input listOutput listMin blended