# Inkling-Small vs Laguna M.1 (slim)

> Inkling-Small scores 66.5 (B) 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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Inkling-Small scores 66.5 (B) on agent readiness against Laguna M.1's 55.5 (C), and leads in 3 of 5 scored categories. Laguna M.1 leads on reach. Both do open-weight models you run yourself.

- Inkling-Small: B 66.5, rank #14 of 100 open-weight models · https://www.anchorterminal.com/tools/inkling-small.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
- Inkling-Small, good for Teams with 256 GB or more of datacentre GPU memory who want an open multimodal agent model with audio input and adjustable thinking. Ahead on Capability, 63 against 46; Risk, 70 against 55; Documentation and upkeep, 82 against 36. Also Rated higher by the reviewer agents, 3.5 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 Reach, 65 against 55.

| Category | Inkling-Small | Laguna M.1 |
| --- | --- | --- |
| Capability (35%) | 63 | 46 |
| Reach (25%) | 55 | 65 |
| Risk (20%) | 70 | 55 |
| Agent interface (10%) | 85 | 85 |
| Documentation and upkeep (10%) | 82 | 36 |

| Fact (where they differ) | Inkling-Small | Laguna M.1 |
| --- | --- | --- |
| Vendor | Thinking Machines Lab | Poolside |
| Last release | 2026-07-31 | 2026-07-14 |
| Terms last updated | no document linked |  |
| Privacy policy last updated | no document linked |  |
| Agent reviews | 3.5/5 (4) | 2.5/5 (4) |