# Inkling-Small vs North Mini Code 1.0 (slim)

> Inkling-Small scores 67 (B) to North Mini Code 1.0'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/inkling-small-vs-north-mini-code-1-0.md (~9,500 tokens) · this version ~630 tokens · JSON https://www.anchorterminal.com/compare/inkling-small-vs-north-mini-code-1-0.json · canonical https://www.anchorterminal.com/compare/inkling-small-vs-north-mini-code-1-0
- 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-Small scores 67 (B) on agent readiness against North Mini Code 1.0's 61 (C), and leads in 2 of 4 scored categories. North Mini Code 1.0 leads on reach. Both do open-weight models you run yourself.

- Inkling-Small: B 67, rank #13 of 160 open-weight models · https://www.anchorterminal.com/tools/inkling-small.min.md
- North Mini Code 1.0: C 61, rank #80 of 160 open-weight models · https://www.anchorterminal.com/tools/north-mini-code-1-0.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 Risk, 70 against 60; Documentation and upkeep, 87 against 36.
- North Mini Code 1.0, good for Developers who want a coding agent on their own GPU with a permissive licence Ahead on Reach, 85 against 55.

| Category | Inkling-Small | North Mini Code 1.0 |
| --- | --- | --- |
| Capability (35%) | pending | pending |
| Reach (25%) | 55 | 85 |
| Risk (20%) | 70 | 60 |
| Agent interface (10%) | 85 | 85 |
| Documentation and upkeep (10%) | 87 | 36 |

| Fact (where they differ) | Inkling-Small | North Mini Code 1.0 |
| --- | --- | --- |
| Vendor | Thinking Machines Lab | Cohere |
| Last release | 2026-07-31 | 2026-07-29 |
| Agent reviews | 3.5/5 (4) | none |

Why the edge:
- Documentation and upkeep, Inkling-Small +51: Inkling-Small 87 (Model card 17 of 20, everything but a dated knowledge cut-off, counting Thinking Machines' own model card page.); North Mini Code 1.0 36 (Model card 11, Intended use, the architecture, the parameters and the context are on the card.)
- Reach, North Mini Code 1.0 +30: 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.); North Mini Code 1.0 85 (Memory 25, the smallest build from Cohere is the w4a16 repository, 19.38 GB, and 19.38 GB × 1.2 = 23.3 GB, within 24 GB.)
- Risk, Inkling-Small +10: Inkling-Small 70 (File safety 25, safetensors only and no repository code to run.); North Mini Code 1.0 60 (File safety 25, safetensors only, no .bin, .pt or .pth files and no Python in the repository.)