# DeepSeek V4 Flash vs Kimi K3.1 Pro - AI Model Comparison

- Page: https://opencode.ai/data/compare/deepseek/deepseek-v4-flash/moonshotai/kimi-k3-1-pro
- Updated: 2026-10-23T19:54:54.000Z

|  | DeepSeek V4 Flash | Kimi K3.1 Pro |
| --- | --- | --- |
| Lab | DeepSeek | Moonshot |
| Context window | 1M | 1M |
| Max output | 384K | 131K |
| Input modalities | text | text, image, video |
| Reasoning | Yes | Yes |
| Tool calling | Yes | Yes |
| Open weights | Yes | No |
| Release date | 2026-04-24 | 2026-10-23 |
| Input price per 1M tokens | $0.14 | $2.00 |
| Output price per 1M tokens | $0.28 | $10.00 |
| Cached input price per 1M tokens | $0.0028 | $0.20 |
| OpenCode tokens: past 2 months | 100T | 17M |
| Share of all tokens | 8.8% | 0% |
| Rank by tokens last week | #10 | #50 |
| Unique users | 2.1M | 43 |
| Weekly retention | 67.2% | - |

Model pages: [DeepSeek V4 Flash](https://opencode.ai/data/deepseek/deepseek-v4-flash.md), [Kimi K3.1 Pro](https://opencode.ai/data/moonshotai/kimi-k3-1-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.
