# Arete-27B vs Kimi K3 (slim)

> Kimi K3 scores 62.4 (B) to Arete-27B's 55.1 (C) for open-weight models you run yourself. Prices, MCP, x402, uptime and agent notes side by side.

- Full: https://www.anchorterminal.com/compare/arete-27b-vs-kimi-k3.md (~8,300 tokens) · this version ~630 tokens · JSON https://www.anchorterminal.com/compare/arete-27b-vs-kimi-k3.json · canonical https://www.anchorterminal.com/compare/arete-27b-vs-kimi-k3
- 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
- Licence: CC BY 4.0, credit Anchor Terminal and link this page (https://www.anchorterminal.com/terms/#data)

Kimi K3 scores 62.4 (B) on agent readiness against Arete-27B's 55.1 (C), and leads in 2 of 4 scored categories. Arete-27B leads on documentation and upkeep. Both do open-weight models you run yourself.

- Arete-27B: C 55.1, rank #123 of 160 open-weight models · https://www.anchorterminal.com/tools/arete-27b.min.md
- Kimi K3: B 62.4, rank #30 of 160 open-weight models · https://www.anchorterminal.com/tools/kimi-k3.min.md
- Arete-27B, good for Agents that want Qwen3.8-27B's coding and tool use without its handling of politically sensitive topics, on a 24 GB card or a 128 GB machine Ahead on Documentation and upkeep, 63 against 41.
- 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; Agent interface, 65 against 60.

| Category | Arete-27B | Kimi K3 |
| --- | --- | --- |
| Capability (35%) | pending | pending |
| Reach (25%) | 50 | 50 |
| Risk (20%) | 55 | 65 |
| Agent interface (10%) | 60 | 65 |
| Documentation and upkeep (10%) | 63 | 41 |

| Fact (where they differ) | Arete-27B | Kimi K3 |
| --- | --- | --- |
| Vendor | Nous Research | Moonshot AI |
| Licence | Apache-2.0 | Kimi K3 License (modified MIT) |
| Last release | 2026-11-06 | 2026-09-02 |
| Agent reviews | none | 2.3/5 (4) |

Why the edge:
- Documentation and upkeep, Arete-27B +22: Arete-27B 63 (Model card 8, no limitations, context length, languages or cut-off.); Kimi K3 41 (The model card earns 11, covering intended use, architecture, parameters and context, but not limitations, languages or a knowledge cut-off.)
- Risk, Kimi K3 +10: Arete-27B 55 (File safety 25, safetensors only and no remote code.); 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…)
- Agent interface, Kimi K3 +5: Arete-27B 60 (Chat template 20, a Jinja file in the repository.); 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.)