# DeepSeek V4 Pro 0813 vs LongCat-2.0 - AI Model Comparison

- Page: https://opencode.ai/data/compare/deepseek/deepseek-v4-pro-0813/meituan/longcat-2-0
- Updated: 2026-10-23T05:24:16.000Z

|  | DeepSeek V4 Pro 0813 | LongCat-2.0 |
| --- | --- | --- |
| Lab | DeepSeek | Meituan |
| Context window | 1M | 1M |
| Max output | 384K | 131K |
| Input modalities | text | text |
| Reasoning | Yes | Yes |
| Tool calling | Yes | Yes |
| Open weights | Yes | Yes |
| Release date | 2026-08-13 | 2026-06-30 |
| Input price per 1M tokens | $2.00 | $0.30 |
| Output price per 1M tokens | $4.00 | $1.20 |
| Cached input price per 1M tokens | $0.50 | $0.0060 |
| OpenCode tokens: past 2 months | 72M | 411B |
| Share of all tokens | 0% | 0.0% |
| Rank by tokens last week | - | #35 |
| Unique users | 26 | 55K |
| Weekly retention | - | 66.6% |

Model pages: [DeepSeek V4 Pro 0813](https://opencode.ai/data/deepseek/deepseek-v4-pro-0813.md), [LongCat-2.0](https://opencode.ai/data/meituan/longcat-2-0.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.