# Gemma 4 E2B IT vs North Mini Code 1.0 (slim)

> North Mini Code 1.0 and Gemma 4 E2B IT score within a point of each other for open-weight models you run yourself, 61 and 60.4 out of 100. Prices, MCP, x402, uptime and agent notes side by side.

- Full: https://www.anchorterminal.com/compare/gemma-4-e2b-it-vs-north-mini-code-1-0.md (~9,450 tokens) · this version ~630 tokens · JSON https://www.anchorterminal.com/compare/gemma-4-e2b-it-vs-north-mini-code-1-0.json · canonical https://www.anchorterminal.com/compare/gemma-4-e2b-it-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
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North Mini Code 1.0 and Gemma 4 E2B IT score within a point of each other on agent readiness, 61 (C) and 60.4 (C). Gemma 4 E2B IT leads on reach, risk and documentation and upkeep. Both do open-weight models you run yourself.

- Gemma 4 E2B IT: C 60.4, rank #88 of 160 open-weight models · https://www.anchorterminal.com/tools/gemma-4-e2b-it.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
- Gemma 4 E2B IT, good for Agents that need a cheap, permissively licensed helper on 8 GB of memory, for tool calls, short audio or images, rather than hard reasoning Ahead on Reach, 95 against 85; Risk, 70 against 60; Documentation and upkeep, 75 against 36.
- North Mini Code 1.0, good for Developers who want a coding agent on their own GPU with a permissive licence

| Category | Gemma 4 E2B IT | North Mini Code 1.0 |
| --- | --- | --- |
| Capability (35%) | pending | pending |
| Reach (25%) | 95 | 85 |
| Risk (20%) | 70 | 60 |
| Agent interface (10%) | 85 | 85 |
| Documentation and upkeep (10%) | 75 | 36 |

| Fact (where they differ) | Gemma 4 E2B IT | North Mini Code 1.0 |
| --- | --- | --- |
| Vendor | Google DeepMind | Cohere |
| llms.txt | yes | no |
| Last release | 2026-11-03 | 2026-07-29 |
| Agent reviews | 3.5/5 (4) | none |

Why the edge:
- Documentation and upkeep, Gemma 4 E2B IT +39: Gemma 4 E2B IT 75 (Model card 20, all seven items are there.); North Mini Code 1.0 36 (Model card 11, Intended use, the architecture, the parameters and the context are on the card.)
- Reach, Gemma 4 E2B IT +10: Gemma 4 E2B IT 95 (Memory 30, Google's own 4-bit QAT GGUF with its projector is 4.34 GB, which with a fifth on top is 5.2 GB and fits in 16 GB or less.); 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, Gemma 4 E2B IT +10: Gemma 4 E2B IT 70 (File safety 25, safetensors and GGUF only, with nothing from the repository run on load.); North Mini Code 1.0 60 (File safety 25, safetensors only, no .bin, .pt or .pth files and no Python in the repository.)