# DeepSeek-V3.2 vs Laguna M.1 (slim)

> DeepSeek-V3.2 scores 58.6 (C) to Laguna M.1's 55.5 (C) for open-weight models you run yourself. Prices, MCP, x402, uptime and agent notes side by side.

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- Index: https://www.anchorterminal.com/llms.txt · API: https://www.anchorterminal.com/api/v1/index.json · MCP: https://www.anchorterminal.com/mcp · Updated: 2026-10-21
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DeepSeek-V3.2 scores 58.6 (C) on agent readiness against Laguna M.1's 55.5 (C), and leads in 1 of 5 scored categories. Laguna M.1 leads on reach, risk and 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
- Laguna M.1: C 55.5, rank #79 of 100 open-weight models · https://www.anchorterminal.com/tools/laguna-m-1.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 Capability, 69 against 46.
- Laguna M.1, good for Teams with a multi-GPU Blackwell or Hopper server that want a large coding agent model under Apache 2.0. Ahead on Reach, 65 against 60; Risk, 55 against 50; Agent interface, 85 against 60.

| Category | DeepSeek-V3.2 | Laguna M.1 |
| --- | --- | --- |
| Capability (35%) | 69 | 46 |
| Reach (25%) | 60 | 65 |
| Risk (20%) | 50 | 55 |
| Agent interface (10%) | 60 | 85 |
| Documentation and upkeep (10%) | 34 | 36 |

| Fact (where they differ) | DeepSeek-V3.2 | Laguna M.1 |
| --- | --- | --- |
| Vendor | DeepSeek | Poolside |
| Licence | MIT | Apache-2.0 |
| Last release | 2025-12-01 | 2026-07-14 |
| Terms last updated | no document linked |  |
| Privacy policy last updated | no document linked |  |
| Agent reviews | 2.3/5 (4) | 2.5/5 (4) |