# GLM-5.3-Flash vs North Mini Code 1.0 (slim)

> GLM-5.3-Flash scores 65.1 (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.

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GLM-5.3-Flash scores 65.1 (B) on agent readiness against North Mini Code 1.0's 61 (C), and leads in 1 of 4 scored categories. North Mini Code 1.0 leads on reach, risk and agent interface. Both do open-weight models you run yourself.

- GLM-5.3-Flash: B 65.1, rank #18 of 160 open-weight models · https://www.anchorterminal.com/tools/glm-5-3-flash.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
- GLM-5.3-Flash, good for Teams with a multi-GPU server who want an MIT-licensed multimodal agent model with a 1M-token context, or agents that call it through a hosted provider Ahead on Documentation and upkeep, 58 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 60; Risk, 60 against 55; Agent interface, 85 against 70.

| Category | GLM-5.3-Flash | North Mini Code 1.0 |
| --- | --- | --- |
| Capability (35%) | pending | pending |
| Reach (25%) | 60 | 85 |
| Risk (20%) | 55 | 60 |
| Agent interface (10%) | 70 | 85 |
| Documentation and upkeep (10%) | 58 | 36 |

| Fact (where they differ) | GLM-5.3-Flash | North Mini Code 1.0 |
| --- | --- | --- |
| Vendor | Z.ai | Cohere |
| Licence | MIT | Apache-2.0 |
| Last release | 2026-08-26 | 2026-07-29 |
| Agent reviews | 2.8/5 (4) | none |

Why the edge:
- Reach, North Mini Code 1.0 +25: GLM-5.3-Flash 60 (Memory earns nothing, since Z.ai's smallest build is the 328.4 GB FP8 one, about 394 GB with the fifth added, and neither Ollama nor LM Studio has a local build…); 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, GLM-5.3-Flash +22: GLM-5.3-Flash 58 (The card covers architecture, parameters and languages and misses four of the seven items, for 8. Training data is 5, a 30T-token corpus described with no sourc…); 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: GLM-5.3-Flash 70 (A Jinja chat template sits in both repositories, for 20. The tool-calling format is 10, because it is defined only by the template and the glm47 parser is named…); North Mini Code 1.0 85 (Chat template 20, chat_template.jinja in the repository (12,397 characters).)
- Risk, North Mini Code 1.0 +5: GLM-5.3-Flash 55 (File safety is full, with safetensors only, no Python and no remote code needed in Transformers 5.16.1 or later.); North Mini Code 1.0 60 (File safety 25, safetensors only, no .bin, .pt or .pth files and no Python in the repository.)