# DeepSeek V4.1 Flash vs MiMo-V2.6-Pro - AI Model Comparison

- Page: https://opencode.ai/data/compare/deepseek/mimo
- Updated: 2026-10-12T19:00:56.000Z

|  | DeepSeek V4.1 Flash | MiMo-V2.6-Pro |
| --- | --- | --- |
| Lab | DeepSeek | Xiaomi |
| Context window | 1M | 1M |
| Max output | 384K | 131K |
| Input modalities | text, image | text, image, audio, video |
| Reasoning | Yes | Yes |
| Tool calling | Yes | Yes |
| Open weights | Yes | Yes |
| Release date | 2026-09-10 | 2026-09-22 |
| Input price per 1M tokens | $0.30 | $0.47 |
| Output price per 1M tokens | $1.20 | $0.94 |
| Cached input price per 1M tokens | $0.0060 | $0.0050 |
| OpenCode tokens: past 2 months | 202T | 1.6T |
| Share of all tokens | 21% | 0.2% |
| Rank by tokens last week | #1 | #16 |
| Unique users | 1.9M | 81K |
| Weekly retention | 64.2% | 64.1% |

Model pages: [DeepSeek V4.1 Flash](https://opencode.ai/data/deepseek/deepseek-v4-1-flash.md), [MiMo-V2.6-Pro](https://opencode.ai/data/xiaomi/mimo-v2-6-pro.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.