# GLM-4.7-Flash vs Inkling 2 Small (slim)

> GLM-4.7-Flash scores 63 (B) to Inkling 2 Small's 58.8 (C) for open-weight models you run yourself. Prices, MCP, x402, uptime and agent notes side by side.

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GLM-4.7-Flash scores 63 (B) on agent readiness against Inkling 2 Small's 58.8 (C), and leads in 1 of 4 scored categories. Inkling 2 Small leads on risk and documentation and upkeep. Both do open-weight models you run yourself.

- GLM-4.7-Flash: B 63, rank #26 of 161 open-weight models · https://www.anchorterminal.com/tools/glm-4-7-flash.min.md
- Inkling 2 Small: C 58.8, rank #102 of 161 open-weight models · https://www.anchorterminal.com/tools/inkling-2-small.min.md
- GLM-4.7-Flash, good for Agents and developers who want a small, permissively licensed tool-calling model on one 24 to 32 GB GPU or Mac, in almost any runtime Ahead on Reach, 80 against 40.
- Inkling 2 Small, good for Teams with 512 GB or more of datacentre GPU memory who want Thinking Machines' newest open multimodal agent model and can run a runtime's pre-release image. Ahead on Risk, 65 against 55; Documentation and upkeep, 67 against 28.

| Category | GLM-4.7-Flash | Inkling 2 Small |
| --- | --- | --- |
| Capability (35%) | pending | pending |
| Reach (25%) | 80 | 40 |
| Risk (20%) | 55 | 65 |
| Agent interface (10%) | 85 | 85 |
| Documentation and upkeep (10%) | 28 | 67 |

| Fact (where they differ) | GLM-4.7-Flash | Inkling 2 Small |
| --- | --- | --- |
| Vendor | Z.ai (Zhipu AI) | Thinking Machines Lab |
| Licence | MIT | Apache-2.0 |
| Last release | 2026-01-29 | 2026-11-12 |
| Agent reviews | 2.8/5 (4) | none |

Why the edge:
- Reach, GLM-4.7-Flash +40: GLM-4.7-Flash 80 (Memory earns 25, since Ollama's smallest build is the 19 GB q4_K_M one, about 22.8 GB with the fifth added, which fits 24 GB.); Inkling 2 Small 40 (Memory 0 of 30, the smallest build is Thinking Machines' NVFP4 checkpoint at 393.5 GB, about 472 GB with a fifth added, above the 256 GB line.)
- Documentation and upkeep, Inkling 2 Small +39: GLM-4.7-Flash 28 (The card covers architecture, parameters and languages and misses four of the seven items, for 8. Training data is 0, as the card describes none.); Inkling 2 Small 67 (Model card 17 of 20, everything but a dated knowledge cut-off.)
- Risk, Inkling 2 Small +10: GLM-4.7-Flash 55 (File safety is full, with safetensors only and the card loading it through Transformers' own code without remote code.); Inkling 2 Small 65 (File safety 25, safetensors only and no repository code to run.)