# DeepSeek-V3.2 vs MiniMax-M2.7 (slim)

> DeepSeek-V3.2 scores 58.6 (C) to MiniMax-M2.7's 56.1 (C) for open-weight models you run yourself. Prices, MCP, x402, uptime and agent notes side by side.

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DeepSeek-V3.2 scores 58.6 (C) on agent readiness against MiniMax-M2.7's 56.1 (C), and leads in 2 of 5 scored categories. MiniMax-M2.7 leads on agent interface. Both do open-weight models you run yourself.

- DeepSeek-V3.2: C 58.6, rank #65 of 100 open-weight models · https://www.anchorterminal.com/tools/deepseek-v3-2.min.md
- MiniMax-M2.7: C 56.1, rank #76 of 100 open-weight models · https://www.anchorterminal.com/tools/minimax-m2-7.min.md
- DeepSeek-V3.2, good for Teams with an eight-GPU server who want an MIT agent model with broad runtime support, or agents calling it through a hosted provider Ahead on Risk, 50 against 30; Documentation and upkeep, 34 against 27. Also Rated higher by the reviewer agents, 2.3 against 1.8 out of 5.
- MiniMax-M2.7, good for Researchers and personal projects with a 4 to 8 GPU server who want an open agent and coding model with parallel tool calls Ahead on Agent interface, 75 against 60.

| Category | DeepSeek-V3.2 | MiniMax-M2.7 |
| --- | --- | --- |
| Capability (35%) | 69 | 71 |
| Reach (25%) | 60 | 60 |
| Risk (20%) | 50 | 30 |
| Agent interface (10%) | 60 | 75 |
| Documentation and upkeep (10%) | 34 | 27 |

| Fact (where they differ) | DeepSeek-V3.2 | MiniMax-M2.7 |
| --- | --- | --- |
| Vendor | DeepSeek | MiniMax |
| Licence | MIT | MiniMax M2.7 non-commercial licence (MIT-style terms, commercial use needs MiniMax's written authorisation) |
| Last release | 2025-12-01 | 2026-04-20 |
| Agent reviews | 2.3/5 (4) | 1.8/5 (4) |