Context Window
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Input Price/1M
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Output Price/1M
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Parameters
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Speed
200 tok/s
Latency (TTFT)
185ms
North Mini Code results on the main AI model evaluation benchmarks. Higher scores indicate better performance.
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| Terminal-Bench Hard | 31.0 | 100.0 | — |
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| SciCode | 38.0 | 100.0 | — |
| AA Coding Index | 33.4 | 100.0 | Artificial Analysis official API |
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| AA-LCR | 32.0 | 100.0 | — |
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| AA Intelligence Index | 27.6 | 100.0 | Artificial Analysis official API |
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| GPQA Diamond | 76.0 | 100.0 | Artificial Analysis official API |
| IFBench | 58.0 | 100.0 | — |
| HLE | 10.0 | 100.0 | — |
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| Tau²-Bench | 37.0 | 100.0 | — |
North Mini Code is an AI model developed by Cohere, classified as a text model. It focuses on text processing and natural language generation. As a proprietary model, it is available via Cohere's cloud API.
North Mini Code does not have public per-token pricing available at this time. Some models offer access via enterprise plans or research programs. Check Cohere's official website for up-to-date availability and pricing.
North Mini Code was evaluated on 9 different benchmarks, covering categories like Agentic, Coding, Long Context, overall, Reasoning, Tool Use. Results show moderate performance across available evaluations.
It's important to note that benchmarks measure specific aspects and don't capture the full user experience. Factors like instruction adherence, behavior in long conversations, and real-world task quality vary significantly between models and aren't always reflected in standard scores.
North Mini Code specializes in text, offering advanced capabilities for creating and processing text content.
In the 2026 AI model ecosystem, North Mini Code competes directly with similarly capable models. Cohere competes in this segment against OpenAI, Anthropic, Google, and Meta. The choice between models depends on the specific use case, budget, latency requirements, and need for features like multimodality and tool calling.
For a detailed side-by-side comparison, use our comparison tool or check the overall model ranking.
North Mini Code is an AI model developed by Cohere. It is a text model.
North Mini Code does not have public per-token pricing available at this time. Check Cohere's official website for up-to-date information.
In available benchmarks, North Mini Code scored: Terminal-Bench Hard: 31/100, SciCode: 38/100, AA Coding Index: 33.4/100. See the full table above for a detailed comparison.
No, North Mini Code is a proprietary model from Cohere. It is available via cloud API. For open source alternatives, check our open source model ranking.
North Mini Code excels at general-purpose language tasks.
Last updated: June 11, 2026 • View methodology →