# Devstral Small 2 vs Laguna M.1 (slim)

> Devstral Small 2 scores 61 (C) to Laguna M.1's 56.7 (C) for open-weight models you run yourself. Prices, MCP, x402, uptime and agent notes side by side.

- Full: https://www.anchorterminal.com/compare/devstral-small-2-vs-laguna-m-1.md (~9,450 tokens) · this version ~880 tokens · JSON https://www.anchorterminal.com/compare/devstral-small-2-vs-laguna-m-1.json · canonical https://www.anchorterminal.com/compare/devstral-small-2-vs-laguna-m-1
- Index: https://www.anchorterminal.com/llms.txt · API: https://www.anchorterminal.com/api/v1/index.json · MCP: https://www.anchorterminal.com/mcp · Updated: 2026-11-10
- Licence: CC BY 4.0, credit Anchor Terminal and link this page (https://www.anchorterminal.com/terms/#data)

Devstral Small 2 scores 61 (C) on agent readiness against Laguna M.1's 56.7 (C), and leads in 3 of 4 scored categories. Laguna M.1 leads on agent interface. Both do open-weight models you run yourself.

- Devstral Small 2: C 61, rank #60 of 160 open-weight models · https://www.anchorterminal.com/tools/devstral-small-2.min.md
- Laguna M.1: C 56.7, rank #112 of 160 open-weight models · https://www.anchorterminal.com/tools/laguna-m-1.min.md
- Devstral Small 2, good for Developers who want a dependable local coding agent on one consumer GPU or a 32 GB Mac Ahead on Reach, 90 against 70; Risk, 60 against 55; Documentation and upkeep, 46 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 65.

| Category | Devstral Small 2 | Laguna M.1 |
| --- | --- | --- |
| Capability (35%) | pending | pending |
| Reach (25%) | 90 | 70 |
| Risk (20%) | 60 | 55 |
| Agent interface (10%) | 65 | 85 |
| Documentation and upkeep (10%) | 46 | 36 |

| Fact (where they differ) | Devstral Small 2 | Laguna M.1 |
| --- | --- | --- |
| Vendor | Mistral AI | Poolside |
| Last release | 2026-07-15 | 2026-07-14 |
| 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 | 2.5/5 (4) |

Why the edge:
- Reach, Devstral Small 2 +20: Devstral Small 2 90 (Memory 25, the smallest build at 4 bits from a runtime's own library is Ollama's devstral-small-2 at Q4_K_M, 15 GB, and 15 GB × 1.2 = 18 GB, within 24 GB.); Laguna M.1 70 (Memory 5 of 30, the smallest 4-bit build is Poolside's 139.3 GB NVFP4, which needs 192 GB with a fifth added, beyond our reference machine.)
- Agent interface, Laguna M.1 +20: Devstral Small 2 65 (Chat template 20, chat_template.jinja in the repository (11,362 characters), with the tokenizer's tekken file for mistral-common.); Laguna M.1 85 (Chat template 20, a Jinja file in the repository.)
- Documentation and upkeep, Devstral Small 2 +10: Devstral Small 2 46 (Model card 11, Intended use, the architecture, the parameters and the context are on the card.); Laguna M.1 36 (Model card 11 of 20, intended use, architecture, parameters and context are there, limitations, languages and a cut-off aren't.)
- Risk, Devstral Small 2 +5: Devstral Small 2 60 (File safety 25, safetensors only, no .bin, .pt or .pth files and no Python in the repository.); Laguna M.1 55 (File safety 15 of 25, safetensors only, but the repository ships model code behind auto_map and the card's SGLang and TensorRT-LLM instructions use trust_remote…)