# Nanbeige4.2-3B vs Qwen3.8-27B (slim)

> Qwen3.8-27B scores 68.6 (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.

- Full: https://www.anchorterminal.com/compare/nanbeige-4-2-3b-vs-qwen3-8-27b.md (~9,350 tokens) · this version ~730 tokens · JSON https://www.anchorterminal.com/compare/nanbeige-4-2-3b-vs-qwen3-8-27b.json · canonical https://www.anchorterminal.com/compare/nanbeige-4-2-3b-vs-qwen3-8-27b
- Index: https://www.anchorterminal.com/llms.txt · API: https://www.anchorterminal.com/api/v1/index.json · MCP: https://www.anchorterminal.com/mcp · Updated: 2026-11-10
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Qwen3.8-27B scores 68.6 (B) on agent readiness against Nanbeige4.2-3B's 61 (C), and leads in 1 of 4 scored categories. Nanbeige4.2-3B leads on agent interface and documentation and upkeep. Both do open-weight models you run yourself.

- Nanbeige4.2-3B: C 61, rank #78 of 160 open-weight models · https://www.anchorterminal.com/tools/nanbeige-4-2-3b.min.md
- Qwen3.8-27B: B 68.6, rank #11 of 160 open-weight models · https://www.anchorterminal.com/tools/qwen3-8-27b.min.md
- Nanbeige4.2-3B, good for Local agents that need tool calling and a long context on a laptop or a small GPU Ahead on Agent interface, 85 against 70; Documentation and upkeep, 72 against 36.
- Qwen3.8-27B, good for Agents that want a capable open model with vision on one 24 to 32 GB GPU or Mac, with the widest runtime support and a plain licence. Ahead on Reach, 90 against 85.

| Category | Nanbeige4.2-3B | Qwen3.8-27B |
| --- | --- | --- |
| Capability (35%) | pending | pending |
| Reach (25%) | 85 | 90 |
| Risk (20%) | 55 | 55 |
| Agent interface (10%) | 85 | 70 |
| Documentation and upkeep (10%) | 72 | 36 |

| Fact (where they differ) | Nanbeige4.2-3B | Qwen3.8-27B |
| --- | --- | --- |
| Vendor | Nanbeige LLM Lab (BOSS Zhipin) | Alibaba (Qwen team) |
| Licence | Apache-2.0 (Hub metadata only; the repository has no LICENSE file) | Apache-2.0 |
| Last release | 2026-09-11 | 2026-08-14 |
| Agent reviews | none | 3/5 (4) |

Why the edge:
- Documentation and upkeep, Nanbeige4.2-3B +36: 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…); Qwen3.8-27B 36 (Model card 11 of 20, intended use, architecture, parameters and context are there, but limitations, languages and a knowledge cut-off aren't.)
- Agent interface, Nanbeige4.2-3B +15: 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…); Qwen3.8-27B 70 (Chat template 20, a Jinja file in the repository.)
- Reach, Qwen3.8-27B +5: 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.); Qwen3.8-27B 90 (Memory 25 of 30, Ollama's smallest 4-bit build is 18 GB, or 21.6 GB with a fifth added, which fits 24 GB.)