# Devstral Small 2 vs Inkling-Small (slim)

> Inkling-Small scores 67 (B) to Devstral Small 2's 61 (C) for open-weight models you run yourself. Prices, MCP, x402, uptime and agent notes side by side.

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Inkling-Small scores 67 (B) on agent readiness against Devstral Small 2's 61 (C), and leads in 3 of 4 scored categories. Devstral Small 2 leads on reach. 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
- Inkling-Small: B 67, rank #13 of 160 open-weight models · https://www.anchorterminal.com/tools/inkling-small.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 55.
- 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 Risk, 70 against 60; Agent interface, 85 against 65; Documentation and upkeep, 87 against 46.

| Category | Devstral Small 2 | Inkling-Small |
| --- | --- | --- |
| Capability (35%) | pending | pending |
| Reach (25%) | 90 | 55 |
| Risk (20%) | 60 | 70 |
| Agent interface (10%) | 65 | 85 |
| Documentation and upkeep (10%) | 46 | 87 |

| Fact (where they differ) | Devstral Small 2 | Inkling-Small |
| --- | --- | --- |
| Vendor | Mistral AI | Thinking Machines Lab |
| Last release | 2026-07-15 | 2026-07-31 |
| Agent reviews | none | 3.5/5 (4) |

Why the edge:
- Documentation and upkeep, Inkling-Small +41: Devstral Small 2 46 (Model card 11, Intended use, the architecture, the parameters and the context are on the card.); Inkling-Small 87 (Model card 17 of 20, everything but a dated knowledge cut-off, counting Thinking Machines' own model card page.)
- Reach, Devstral Small 2 +35: 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.); Inkling-Small 55 (Memory 5 of 30, the smallest 4-bit build is Thinking Machines' NVFP4 at 170.8 GB, about 205 GB with a fifth added, so it needs 256 GB.)
- Agent interface, Inkling-Small +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.); Inkling-Small 85 (Chat template 20, a Jinja file in the repository.)
- Risk, Inkling-Small +10: Devstral Small 2 60 (File safety 25, safetensors only, no .bin, .pt or .pth files and no Python in the repository.); Inkling-Small 70 (File safety 25, safetensors only and no repository code to run.)