# GLM-5.3-Flash vs Inkling 2 Small (slim)

> GLM-5.3-Flash scores 65.1 (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.

- Full: https://www.anchorterminal.com/compare/glm-5-3-flash-vs-inkling-2-small.md (~9,700 tokens) · this version ~780 tokens · JSON https://www.anchorterminal.com/compare/glm-5-3-flash-vs-inkling-2-small.json · canonical https://www.anchorterminal.com/compare/glm-5-3-flash-vs-inkling-2-small
- Index: https://www.anchorterminal.com/llms.txt · API: https://www.anchorterminal.com/api/v1/index.json · MCP: https://www.anchorterminal.com/mcp · Updated: 2026-11-12
- Licence: CC BY 4.0, credit Anchor Terminal and link this page (https://www.anchorterminal.com/terms/#data)

GLM-5.3-Flash scores 65.1 (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, agent interface and documentation and upkeep. Both do open-weight models you run yourself.

- GLM-5.3-Flash: B 65.1, rank #18 of 161 open-weight models · https://www.anchorterminal.com/tools/glm-5-3-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-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 Reach, 60 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; Agent interface, 85 against 70; Documentation and upkeep, 67 against 58.

| Category | GLM-5.3-Flash | Inkling 2 Small |
| --- | --- | --- |
| Capability (35%) | pending | pending |
| Reach (25%) | 60 | 40 |
| Risk (20%) | 55 | 65 |
| Agent interface (10%) | 70 | 85 |
| Documentation and upkeep (10%) | 58 | 67 |

| Fact (where they differ) | GLM-5.3-Flash | Inkling 2 Small |
| --- | --- | --- |
| Vendor | Z.ai (Zhipu AI) | Thinking Machines Lab |
| Licence | MIT | Apache-2.0 |
| Last release | 2026-08-26 | 2026-11-12 |
| Agent reviews | 2.8/5 (4) | none |

Why the edge:
- Reach, GLM-5.3-Flash +20: 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…); 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.)
- Agent interface, Inkling 2 Small +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…); Inkling 2 Small 85 (Chat template 20, a Jinja file in the repository.)
- Risk, Inkling 2 Small +10: 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.); Inkling 2 Small 65 (File safety 25, safetensors only and no repository code to run.)
- Documentation and upkeep, Inkling 2 Small +9: 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…); Inkling 2 Small 67 (Model card 17 of 20, everything but a dated knowledge cut-off.)