# DeepSeek V4 Flash vs Kimi K2.7 Code - AI Model Comparison

- Page: https://opencode.ai/data/compare/deepseek/deepseek-v4-flash/moonshotai/kimi-k2-7-code
- Updated: 2026-10-31T04:00:42.000Z

|  | DeepSeek V4 Flash | Kimi K2.7 Code |
| --- | --- | --- |
| Lab | DeepSeek | Moonshot |
| Context window | 1M | 262K |
| Max output | 384K | 262K |
| Input modalities | text | text, image, video |
| Reasoning | Yes | Yes |
| Tool calling | Yes | Yes |
| Open weights | Yes | Yes |
| Release date | 2026-04-24 | 2026-06-12 |
| Input price per 1M tokens | $0.14 | $0.95 |
| Output price per 1M tokens | $0.28 | $4.00 |
| Cached input price per 1M tokens | $0.0028 | $0.19 |
| OpenCode tokens: past 2 months | 71T | 1.3T |
| Share of all tokens | 5.8% | 0.1% |
| Rank by tokens last week | #23 | #25 |
| Unique users | 1.5M | 155K |
| Weekly retention | 63.1% | 57.2% |

Model pages: [DeepSeek V4 Flash](https://opencode.ai/data/deepseek/deepseek-v4-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.