# GLM-5.3 vs Nanbeige4.2-3B (slim)

> GLM-5.3 scores 64.6 (B) to Nanbeige4.2-3B'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 scores 64.6 (B) on agent readiness against Nanbeige4.2-3B's 61 (C), and leads in 0 of 4 scored categories. Nanbeige4.2-3B leads on reach, risk, agent interface and documentation and upkeep. Both do open-weight models you run yourself.

- GLM-5.3: B 64.6, rank #21 of 160 open-weight models · https://www.anchorterminal.com/tools/glm-5-3.min.md
- Nanbeige4.2-3B: C 61, rank #78 of 160 open-weight models · https://www.anchorterminal.com/tools/nanbeige-4-2-3b.min.md
- GLM-5.3, good for Teams with an 8-GPU server who want an open coding and long-horizon agent model with a 1M-token context, or agents that call it through Z.ai or a hosted provider
- Nanbeige4.2-3B, good for Local agents that need tool calling and a long context on a laptop or a small GPU Ahead on Reach, 85 against 55; Risk, 55 against 50; Agent interface, 85 against 70; Documentation and upkeep, 72 against 58.

| Category | GLM-5.3 | Nanbeige4.2-3B |
| --- | --- | --- |
| Capability (35%) | pending | pending |
| Reach (25%) | 55 | 85 |
| Risk (20%) | 50 | 55 |
| Agent interface (10%) | 70 | 85 |
| Documentation and upkeep (10%) | 58 | 72 |

| Fact (where they differ) | GLM-5.3 | Nanbeige4.2-3B |
| --- | --- | --- |
| Vendor | Z.ai (Zhipu AI) | Nanbeige LLM Lab (BOSS Zhipin) |
| Licence | GLM-5.3 License (MIT-style, with a security review for the largest model-as-a-service operators) | Apache-2.0 (Hub metadata only; the repository has no LICENSE file) |
| Last release | 2026-10-15 | 2026-09-11 |
| Agent reviews | 2.8/5 (4) | none |

Why the edge:
- Reach, Nanbeige4.2-3B +30: GLM-5.3 55 (Memory earns nothing, since Z.ai's smallest build is the 755.6 GB FP8 one, about 907 GB with the fifth added, and Ollama only lists a cloud entry.); Nanbeige4.2-3B 85 (Memory 30, the smallest build from Nanbeige is the FP8 repository (the 8-bit GPTQ one is the same size), 5.19 GB, and 5.19 GB × 1.2 = 6.2 GB, within 16 GB.)
- Agent interface, Nanbeige4.2-3B +15: GLM-5.3 70 (A Jinja chat template sits in the repository, for 20. The tool-calling format is 10, since it is defined only by the template and the glm47 parser is named by v…); Nanbeige4.2-3B 85 (Chat template 20, A Jinja chat template in tokenizer_config.json (7,961 characters), with enable_thinking, preserve_thinking, tools and tool_call_format switche…)
- Documentation and upkeep, Nanbeige4.2-3B +14: GLM-5.3 58 (The card covers intended use, languages and context and misses limitations, architecture, parameters and cut-off, for 8. Training data is 5, a description of th…); Nanbeige4.2-3B 72 (Model card 17, Intended use, limitations, the architecture, the parameters (3B outside the embeddings), the context and the languages (in the metadata) are on t…)
- Risk, Nanbeige4.2-3B +5: GLM-5.3 50 (File safety is full, with safetensors only, no Python in the repository and no remote code needed in Transformers 5.12.0 or later.); Nanbeige4.2-3B 55 (File safety 15, safetensors only, no .bin, .pt or .pth files (25).)