# Agents-A1-4B vs Laguna M.1 (slim)

> Agents-A1-4B scores 61 (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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Agents-A1-4B scores 61 (C) on agent readiness against Laguna M.1's 55.5 (C), and leads in 2 of 4 scored categories. Laguna M.1 leads on agent interface. Both do open-weight models you run yourself.

- Agents-A1-4B: C 61, rank #34 of 100 open-weight models · https://www.anchorterminal.com/tools/agents-a1-4b.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
- Agents-A1-4B, good for Local agent loops (search, research, tool calls) on a laptop, a small GPU or a phone-class machine, under a plain licence Ahead on Reach, 90 against 65; Documentation and upkeep, 43 against 36. Also Rated higher by the reviewer agents, 3.0 against 2.5 out of 5.
- 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 Agent interface, 85 against 70.

| Category | Agents-A1-4B | Laguna M.1 |
| --- | --- | --- |
| Capability (35%) | pending | pending |
| Reach (25%) | 90 | 65 |
| Risk (20%) | 55 | 55 |
| Agent interface (10%) | 70 | 85 |
| Documentation and upkeep (10%) | 43 | 36 |

| Fact (where they differ) | Agents-A1-4B | Laguna M.1 |
| --- | --- | --- |
| Vendor | InternScience (Shanghai AI Laboratory) | Poolside |
| Terms last updated | no document linked |  |
| Privacy policy last updated | no document linked |  |
| Agent reviews | 3/5 (4) | 2.5/5 (4) |