# Qwen-Image-2.1 vs North Mini Code - AI Model Comparison

- Page: https://opencode.ai/data/compare/alibaba/qwen-image-2-1/cohere/north-mini-code-1-0

|  | Qwen-Image-2.1 | North Mini Code |
| --- | --- | --- |
| Lab | Alibaba | Cohere |
| Context window | 8.2K | 256K |
| Max output | 0 | 64K |
| Input modalities | text, image | text |
| Reasoning | No | Yes |
| Tool calling | No | Yes |
| Open weights | Yes | Yes |
| Release date | 2026-09-14 | 2026-06-09 |
| Input price per 1M tokens | $0.00 | $0.00 |
| Output price per 1M tokens | $0.00 | $0.00 |
| Cached input price per 1M tokens | - | - |
| OpenCode tokens: past 2 months | - | - |
| Share of all tokens | - | - |
| Rank by tokens last week | - | - |
| Unique users | - | - |
| Weekly retention | - | - |

Model pages: [Qwen-Image-2.1](https://opencode.ai/data/alibaba/qwen-image-2-1.md), [North Mini Code](https://opencode.ai/data/cohere/north-mini-code-1-0.md)

## Methodology

- Updates: Aggregated every hour. Days and weeks use UTC.
- Tokens: Input, output, reasoning, and cached tokens for each request.
- Users and sessions: Approximate counts of distinct users and OpenCode sessions.
- Cost: Session cost is the average cost per OpenCode session. Token prices are list prices from the OpenCode model catalog.
- Retention: The share of a model's users in one week who use it again the next week.
- Citation: Cite OpenCode Data (opencode.ai/data) with the update time shown at the top of the page.