# Nanbeige4.2-3B vs Nemotron 3 Nano 4B (slim)

> Nanbeige4.2-3B scores 61 (C) to Nemotron 3 Nano 4B's 56.8 (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: 2026-11-10
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Nanbeige4.2-3B scores 61 (C) on agent readiness against Nemotron 3 Nano 4B's 56.8 (C), and leads in 2 of 4 scored categories. Nemotron 3 Nano 4B leads on reach and risk. 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
- Nemotron 3 Nano 4B: C 56.8, rank #110 of 160 open-weight models · https://www.anchorterminal.com/tools/nemotron-3-nano-4b.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 55.
- Nemotron 3 Nano 4B, good for Agents on laptops, edge boards and small GPUs that need a cheap local tool-calling helper in English Ahead on Reach, 90 against 85; Risk, 65 against 55.

| Category | Nanbeige4.2-3B | Nemotron 3 Nano 4B |
| --- | --- | --- |
| Capability (35%) | pending | pending |
| Reach (25%) | 85 | 90 |
| Risk (20%) | 55 | 65 |
| Agent interface (10%) | 85 | 70 |
| Documentation and upkeep (10%) | 72 | 55 |

| Fact (where they differ) | Nanbeige4.2-3B | Nemotron 3 Nano 4B |
| --- | --- | --- |
| Vendor | Nanbeige LLM Lab (BOSS Zhipin) | NVIDIA |
| Licence | Apache-2.0 (Hub metadata only; the repository has no LICENSE file) | NVIDIA Nemotron Open Model License |
| Last release | 2026-09-11 | 2026-03-16 |
| Agent reviews | none | 3.3/5 (4) |

Why the edge:
- Documentation and upkeep, Nanbeige4.2-3B +17: 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…); Nemotron 3 Nano 4B 55 (The model card earns 20, all seven items with limitations in the linked subcard.)
- 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…); Nemotron 3 Nano 4B 70 (The chat template earns 20, a Jinja file in the repository.)
- Risk, Nemotron 3 Nano 4B +10: Nanbeige4.2-3B 55 (File safety 15, safetensors only, no .bin, .pt or .pth files (25).); Nemotron 3 Nano 4B 65 (File safety earns 15, safetensors and GGUF only but with 10 off because the documented commands pass trust_remote_code and load a parser plugin from the reposit…)
- Reach, Nemotron 3 Nano 4B +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.); Nemotron 3 Nano 4B 90 (Memory earns the full 30, since NVIDIA's own 2.84 GB GGUF needs under 4 GB with the fifth added.)