# DeepSeek V4 Pro vs MiniMax-M3 - AI Model Comparison

- Page: https://opencode.ai/data/compare/deepseek/deepseek-v4-pro/minimax/minimax-m3
- Updated: 2026-10-04T01:20:24.000Z

|  | DeepSeek V4 Pro | MiniMax-M3 |
| --- | --- | --- |
| Lab | DeepSeek | MiniMax |
| Context window | 1M | 1M |
| Max output | 384K | 512K |
| Input modalities | text | text, image, video |
| Reasoning | Yes | Yes |
| Tool calling | Yes | Yes |
| Open weights | Yes | Yes |
| Release date | 2026-04-24 | 2026-06-01 |
| Input price per 1M tokens | $1.74 | $0.33 |
| Output price per 1M tokens | $3.48 | $1.32 |
| Cached input price per 1M tokens | $0.20 | $0.07 |
| OpenCode tokens: past 2 months | 16T | 2.8T |
| Share of all tokens | 1.8% | 0.3% |
| Rank by tokens last week | #14 | #18 |
| Unique users | 929K | 301K |
| Weekly retention | 56.1% | 57.7% |

Model pages: [DeepSeek V4 Pro](https://opencode.ai/data/deepseek/deepseek-v4-pro.md), [MiniMax-M3](https://opencode.ai/data/minimax/minimax-m3.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.