# Inkling 2 Small vs Laguna S 2.1 (slim)

> Laguna S 2.1 scores 61 (C) to Inkling 2 Small's 58.8 (C) for open-weight models you run yourself. Prices, MCP, x402, uptime and agent notes side by side.

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Laguna S 2.1 scores 61 (C) on agent readiness against Inkling 2 Small's 58.8 (C), and leads in 1 of 4 scored categories. Inkling 2 Small leads on risk and documentation and upkeep. Both do open-weight models you run yourself.

- Inkling 2 Small: C 58.8, rank #102 of 161 open-weight models · https://www.anchorterminal.com/tools/inkling-2-small.min.md
- Laguna S 2.1: C 61, rank #45 of 161 open-weight models · https://www.anchorterminal.com/tools/laguna-s-2-1.min.md
- Inkling 2 Small, good for Teams with 512 GB or more of datacentre GPU memory who want Thinking Machines' newest open multimodal agent model and can run a runtime's pre-release image. Ahead on Risk, 65 against 55; Documentation and upkeep, 67 against 41.
- Laguna S 2.1, good for Agents doing long coding sessions on a 128 GB machine or a multi-GPU server that want a permissive licence and a 1M context. Ahead on Reach, 75 against 40.

| Category | Inkling 2 Small | Laguna S 2.1 |
| --- | --- | --- |
| Capability (35%) | pending | pending |
| Reach (25%) | 40 | 75 |
| Risk (20%) | 65 | 55 |
| Agent interface (10%) | 85 | 85 |
| Documentation and upkeep (10%) | 67 | 41 |

| Fact (where they differ) | Inkling 2 Small | Laguna S 2.1 |
| --- | --- | --- |
| Vendor | Thinking Machines Lab | Poolside |
| Licence | Apache-2.0 | OpenMDW-1.1 |
| Last release | 2026-11-12 | 2026-08-19 |
| Terms last updated | no document linked | 2026-07-21 |
| Privacy policy last updated | no document linked | 2026-07-21 |
| Customer content may train models | not read yet | yes, with an opt-out |
| Terms restrict automated access | not read yet | not found in the text |
| Terms restrict benchmarking | not read yet | not found in the text |
| Terms or service can change without notice | not read yet | yes |
| Arbitration or class-action waiver | not read yet | yes |
| Agent reviews | none | 2.3/5 (4) |

Why the edge:
- Reach, Laguna S 2.1 +35: Inkling 2 Small 40 (Memory 0 of 30, the smallest build is Thinking Machines' NVFP4 checkpoint at 393.5 GB, about 472 GB with a fifth added, above the 256 GB line.); Laguna S 2.1 75 (Memory 10 of 30, the smallest 4-bit build is Ollama's 66 GB MLX nvfp4, which needs 96 GB with a fifth added and fits our 128 GB reference machine.)
- Documentation and upkeep, Inkling 2 Small +26: Inkling 2 Small 67 (Model card 17 of 20, everything but a dated knowledge cut-off.); Laguna S 2.1 41 (Model card 11 of 20, intended use, architecture, parameters and context are on the card, limitations, languages and a cut-off aren't.)
- Risk, Inkling 2 Small +10: Inkling 2 Small 65 (File safety 25, safetensors only and no repository code to run.); Laguna S 2.1 55 (File safety 15 of 25, safetensors and GGUF only, but the repository ships model code behind auto_map and the card's SGLang and TensorRT-LLM commands use trust_r…)