# Devstral Small 2 vs Inkling (slim)

> Inkling scores 64.7 (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.

- Full: https://www.anchorterminal.com/compare/devstral-small-2-vs-inkling.md (~9,250 tokens) · this version ~680 tokens · JSON https://www.anchorterminal.com/compare/devstral-small-2-vs-inkling.json · canonical https://www.anchorterminal.com/compare/devstral-small-2-vs-inkling
- 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)

Inkling scores 64.7 (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: B 64.7, rank #19 of 160 open-weight models · https://www.anchorterminal.com/tools/inkling.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 50.
- Inkling, good for Agents calling a hosted open multimodal model with audio input, or teams with a multi-GPU datacentre node who want to run it themselves. Ahead on Risk, 70 against 60; Agent interface, 85 against 65; Documentation and upkeep, 87 against 46.

| Category | Devstral Small 2 | Inkling |
| --- | --- | --- |
| Capability (35%) | pending | pending |
| Reach (25%) | 90 | 50 |
| Risk (20%) | 60 | 70 |
| Agent interface (10%) | 65 | 85 |
| Documentation and upkeep (10%) | 46 | 87 |

| Fact (where they differ) | Devstral Small 2 | Inkling |
| --- | --- | --- |
| Vendor | Mistral AI | Thinking Machines Lab |
| Last release | 2026-07-15 | 2026-07-23 |
| Agent reviews | none | 3/5 (4) |

Why the edge:
- Documentation and upkeep, Inkling +41: Devstral Small 2 46 (Model card 11, Intended use, the architecture, the parameters and the context are on the card.); Inkling 87 (Model card 17 of 20, everything but a dated knowledge cut-off, counting Thinking Machines' own model card page.)
- Reach, Devstral Small 2 +40: 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 50 (Memory 0 of 30, the smallest 4-bit build is Thinking Machines' NVFP4 at 592.0 GB, about 710 GB with a fifth added, far above 256 GB.)
- Agent interface, Inkling +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 85 (Chat template 20, a Jinja file in the repository.)
- Risk, Inkling +10: Devstral Small 2 60 (File safety 25, safetensors only, no .bin, .pt or .pth files and no Python in the repository.); Inkling 70 (File safety 25, safetensors only and no repository code to run.)