LLM Comparison
MiniMind vs North Mini Code
Side-by-side specs, pricing & capabilities · Updated September 2026
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2/6 modelsSame tier:
| Organization | ||
| OpenTools Score | 7 | |
| Family | MiniMind | North |
| Status | Current | Current |
| Release Date | Sep 2026 | Jun 2026 |
| Context Window | 1K tokens | 262K tokens |
| Input Price | Free | Free |
| Output Price | Free | Free |
| Pricing Notes | Open-source project; API pricing is not applicable unless a downstream host adds serving costs. | Cohere's official model documentation states North Mini Code is free for trial and production API keys until rate limits are reached; Model Vault production deployment is also supported. |
| Capabilities | texteducationtraining | reasoningagentic-codingtool-usestructured-outputmultilinguallocal-deployment |
| Training Cutoff | Not specified | — |
| Max Output | 1K tokens | 66K tokens |
| API Identifier | jingyaogong/minimind | north-mini-code-1-0 |
| Benchmarks | ||
| Artificial Analysis Intelligence Index v4.1 | — | 20artificial-analysis |
| View MiniMind | View North Mini Code | |
Cost Calculator
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| Model | Input | Output | Total / mo | vs Best |
|---|---|---|---|---|
| MiniMindCheapest | $0.00 | $0.00 | $0.00 | — |
| North Mini CodeCheapest | $0.00 | $0.00 | $0.00 | — |
Jingyao Gong
MiniMind
MiniMind is a small open-source language-model training project that demonstrates how to train a 64M-parameter LLM from scratch. The repository is aimed at builders who want a compact, inspectable model-training path rather than a hosted frontier API.
Cohere
North Mini Code
North Mini Code is Cohere's open-weight Mixture-of-Experts model for agentic coding, repository-level software engineering, terminal workflows, tool use, and local deployment.
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