# Darwin-36B-Opus vs Laguna M.1 (slim)

> Darwin-36B-Opus 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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Darwin-36B-Opus 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.

- Darwin-36B-Opus: C 61, rank #37 of 100 open-weight models · https://www.anchorterminal.com/tools/darwin-36b-opus.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
- Darwin-36B-Opus, good for Reasoning-heavy text tasks on a 32 GB machine or a single 80 GB GPU, where a disclosed training method isn't required Ahead on Reach, 80 against 65; Documentation and upkeep, 51 against 36.
- 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 | Darwin-36B-Opus | Laguna M.1 |
| --- | --- | --- |
| Capability (35%) | pending | pending |
| Reach (25%) | 80 | 65 |
| Risk (20%) | 55 | 55 |
| Agent interface (10%) | 70 | 85 |
| Documentation and upkeep (10%) | 51 | 36 |

| Fact (where they differ) | Darwin-36B-Opus | Laguna M.1 |
| --- | --- | --- |
| Vendor | FINAL-Bench (VIDRAFT) | Poolside |
| Last release | 2026-04-23 | 2026-07-14 |
| Terms last updated | no document linked |  |
| Privacy policy last updated | no document linked |  |