# deepseek-v4p1-flash vs Kimi K2.7 Code - AI Model Comparison

- Page: https://opencode.ai/data/compare/deepseek/deepseek-v4p1-flash/moonshotai/kimi-k2-7-code
- Updated: 2026-10-30T14:17:52.000Z

|  | deepseek-v4p1-flash | Kimi K2.7 Code |
| --- | --- | --- |
| Lab | DeepSeek | Moonshot |
| Context window | - | 262K |
| Max output | - | 262K |
| Input modalities | - | text, image, video |
| Reasoning | - | Yes |
| Tool calling | - | Yes |
| Open weights | - | Yes |
| Release date | - | 2026-06-12 |
| Input price per 1M tokens | - | $0.95 |
| Output price per 1M tokens | - | $4.00 |
| Cached input price per 1M tokens | - | $0.19 |
| OpenCode tokens: past 2 months | 450B | 1.3T |
| Share of all tokens | 0.0% | 0.1% |
| Rank by tokens last week | #24 | #26 |
| Unique users | 24K | 156K |
| Weekly retention | - | 57.2% |

Model pages: [deepseek-v4p1-flash](https://opencode.ai/data/deepseek/deepseek-v4p1-flash.md), [Kimi K2.7 Code](https://opencode.ai/data/moonshotai/kimi-k2-7-code.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.