# DiffusionGemma 26B A4B IT vs North Mini Code 1.0 (slim)

> North Mini Code 1.0 scores 61 (C) to DiffusionGemma 26B A4B IT's 51.3 (D) for open-weight models you run yourself. Prices, MCP, x402, uptime and agent notes side by side.

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North Mini Code 1.0 scores 61 (C) on agent readiness against DiffusionGemma 26B A4B IT's 51.3 (D), and leads in 2 of 4 scored categories. DiffusionGemma 26B A4B IT leads on risk and documentation and upkeep. Both do open-weight models you run yourself.

- DiffusionGemma 26B A4B IT: D 51.3, rank #143 of 160 open-weight models · https://www.anchorterminal.com/tools/diffusiongemma-26b-a4b-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
- DiffusionGemma 26B A4B IT, good for Agents with about 64 GB of GPU memory that want fast single-user generation from text and images and can accept lower quality than Gemma 4 Ahead on Risk, 70 against 60; Documentation and upkeep, 60 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; Agent interface, 85 against 70.

| Category | DiffusionGemma 26B A4B IT | North Mini Code 1.0 |
| --- | --- | --- |
| Capability (35%) | pending | pending |
| Reach (25%) | 55 | 85 |
| Risk (20%) | 70 | 60 |
| Agent interface (10%) | 70 | 85 |
| Documentation and upkeep (10%) | 60 | 36 |

| Fact (where they differ) | DiffusionGemma 26B A4B IT | North Mini Code 1.0 |
| --- | --- | --- |
| Vendor | Google DeepMind | Cohere |
| llms.txt | yes | no |
| Last release | 2026-07-15 | 2026-07-29 |
| Agent reviews | 2.5/5 (4) | none |

Why the edge:
- Reach, North Mini Code 1.0 +30: DiffusionGemma 26B A4B IT 55 (Memory earns 15 because the only Google build is 51.7 GB of BF16, about 62 GB with the fifth added, which needs the 64 GB band.); 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.)
- Documentation and upkeep, DiffusionGemma 26B A4B IT +24: DiffusionGemma 26B A4B IT 60 (The card covers all seven points (20), and the training data is a general description with a January 2025 cut-off (10).); North Mini Code 1.0 36 (Model card 11, Intended use, the architecture, the parameters and the context are on the card.)
- Agent interface, North Mini Code 1.0 +15: DiffusionGemma 26B A4B IT 70 (The chat template is in the repository (20) and handles several tool calls in one turn, and the card names function calling as trained (20).); North Mini Code 1.0 85 (Chat template 20, chat_template.jinja in the repository (12,397 characters).)
- Risk, DiffusionGemma 26B A4B IT +10: DiffusionGemma 26B A4B IT 70 (File safety gets the full 25, safetensors only and loaded by Transformers' own code and a Jinja template.); North Mini Code 1.0 60 (File safety 25, safetensors only, no .bin, .pt or .pth files and no Python in the repository.)