# GLM-4.7-Flash vs Nanbeige4.3-33B (slim)

> GLM-4.7-Flash scores 63 (B) to Nanbeige4.3-33B's 61 (C) for open-weight models you run yourself. Prices, MCP, x402, uptime and agent notes side by side.

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- Index: https://www.anchorterminal.com/llms.txt · API: https://www.anchorterminal.com/api/v1/index.json · MCP: https://www.anchorterminal.com/mcp · Updated: 2026-10-25
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GLM-4.7-Flash scores 63 (B) on agent readiness against Nanbeige4.3-33B's 61 (C), and leads in 1 of 4 scored categories. Nanbeige4.3-33B leads on risk and documentation and upkeep. Both do open-weight models you run yourself.

- GLM-4.7-Flash: B 63, rank #27 of 111 open-weight models · https://www.anchorterminal.com/tools/glm-4-7-flash.min.md
- Nanbeige4.3-33B: C 61, rank #56 of 111 open-weight models · https://www.anchorterminal.com/tools/nanbeige-4-3-33b.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 55.
- Nanbeige4.3-33B, good for Agents with about 96 GB of GPU memory, or the 128 GB reference machine, that want an Apache-tagged 33B model for long coding and tool loops and can wait for independent results. Ahead on Risk, 60 against 55; Documentation and upkeep, 56 against 28.

| Category | GLM-4.7-Flash | Nanbeige4.3-33B |
| --- | --- | --- |
| Capability (35%) | pending | pending |
| Reach (25%) | 80 | 55 |
| Risk (20%) | 55 | 60 |
| Agent interface (10%) | 85 | 85 |
| Documentation and upkeep (10%) | 28 | 56 |

| Fact (where they differ) | GLM-4.7-Flash | Nanbeige4.3-33B |
| --- | --- | --- |
| Vendor | Z.ai (Zhipu AI) | Nanbeige LLM Lab (BOSS Zhipin) |
| Licence | MIT | Apache-2.0 (Hub metadata only; the repository has no LICENSE file) |
| Last release | 2026-01-29 | 2026-10-24 |
| Agent reviews | 2.8/5 (4) | none |