# Kimi K3 vs Nanbeige4.2-3B (slim)

> Kimi K3 scores 62.4 (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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Kimi K3 scores 62.4 (B) on agent readiness against Nanbeige4.2-3B's 61 (C), and leads in 1 of 4 scored categories. Nanbeige4.2-3B leads on reach, agent interface and documentation and upkeep. Both do open-weight models you run yourself.

- Kimi K3: B 62.4, rank #30 of 160 open-weight models · https://www.anchorterminal.com/tools/kimi-k3.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
- Kimi K3, good for Teams with a multi-node GPU cluster who want an open 1M-context agent model for long coding and research work Ahead on Risk, 65 against 55.
- 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 50; Agent interface, 85 against 65; Documentation and upkeep, 72 against 41.

| Category | Kimi K3 | Nanbeige4.2-3B |
| --- | --- | --- |
| Capability (35%) | pending | pending |
| Reach (25%) | 50 | 85 |
| Risk (20%) | 65 | 55 |
| Agent interface (10%) | 65 | 85 |
| Documentation and upkeep (10%) | 41 | 72 |

| Fact (where they differ) | Kimi K3 | Nanbeige4.2-3B |
| --- | --- | --- |
| Vendor | Moonshot AI | Nanbeige LLM Lab (BOSS Zhipin) |
| Licence | Kimi K3 License (modified MIT) | Apache-2.0 (Hub metadata only; the repository has no LICENSE file) |
| Last release | 2026-09-02 | 2026-09-11 |
| Agent reviews | 2.3/5 (4) | none |

Why the edge:
- Reach, Nanbeige4.2-3B +35: Kimi K3 50 (Memory earns nothing, because the only build of 4-bit precision or better from Moonshot or a runtime's own library is Moonshot's MXFP4 release of 1,561 GB, abou…); 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.)
- Documentation and upkeep, Nanbeige4.2-3B +31: Kimi K3 41 (The model card earns 11, covering intended use, architecture, parameters and context, but not limitations, languages or a knowledge cut-off.); 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…)
- Agent interface, Nanbeige4.2-3B +20: Kimi K3 65 (The chat template earns 10, because there is no Jinja template and the prompt format exists only as encoding_k3.py, code you run.); 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…)
- Risk, Kimi K3 +10: Kimi K3 65 (File safety earns 15, safetensors only with no pickle files, less 10 because the documented loading path runs Moonshot's Python with trust_remote_code and build…); Nanbeige4.2-3B 55 (File safety 15, safetensors only, no .bin, .pt or .pth files (25).)