# DeepSeek V3.2 vs DeepSeek V4 Pro 0813 - AI Model Comparison

- Page: https://opencode.ai/data/compare/deepseek/deepseek-v3-2/deepseek/deepseek-v4-pro-0813
- Updated: 2026-10-02T22:29:06.000Z

|  | DeepSeek V3.2 | DeepSeek V4 Pro 0813 |
| --- | --- | --- |
| Lab | DeepSeek | DeepSeek |
| Context window | 128K | 1M |
| Max output | 64K | 384K |
| Input modalities | text | text |
| Reasoning | Yes | Yes |
| Tool calling | Yes | Yes |
| Open weights | Yes | Yes |
| Release date | 2025-12-01 | 2026-08-13 |
| Input price per 1M tokens | $0.29 | $1.12 |
| Output price per 1M tokens | $0.43 | $3.37 |
| Cached input price per 1M tokens | $0.06 | $0.11 |
| OpenCode tokens: past 2 months | 0 | 72M |
| Share of all tokens | 0% | 0% |
| Rank by tokens last week | - | - |
| Unique users | 0 | 26 |
| Weekly retention | - | - |

Model pages: [DeepSeek V3.2](https://opencode.ai/data/deepseek/deepseek-v3-2.md), [DeepSeek V4 Pro 0813](https://opencode.ai/data/deepseek/deepseek-v4-pro-0813.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.