# Agents-A1-4B vs Arete-27B (slim)

> Agents-A1-4B scores 61 (C) 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/agents-a1-4b-vs-arete-27b.md (~8,450 tokens) · this version ~630 tokens · JSON https://www.anchorterminal.com/compare/agents-a1-4b-vs-arete-27b.json · canonical https://www.anchorterminal.com/compare/agents-a1-4b-vs-arete-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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Agents-A1-4B scores 61 (C) 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.

- Agents-A1-4B: C 61, rank #39 of 160 open-weight models · https://www.anchorterminal.com/tools/agents-a1-4b.min.md
- Arete-27B: C 55.1, rank #123 of 160 open-weight models · https://www.anchorterminal.com/tools/arete-27b.min.md
- Agents-A1-4B, good for Local agent loops (search, research, tool calls) on a laptop, a small GPU or a phone-class machine, under a plain licence Ahead on Reach, 90 against 50; Agent interface, 70 against 60.
- 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 43.

| Category | Agents-A1-4B | Arete-27B |
| --- | --- | --- |
| Capability (35%) | pending | pending |
| Reach (25%) | 90 | 50 |
| Risk (20%) | 55 | 55 |
| Agent interface (10%) | 70 | 60 |
| Documentation and upkeep (10%) | 43 | 63 |

| Fact (where they differ) | Agents-A1-4B | Arete-27B |
| --- | --- | --- |
| Vendor | InternScience (Shanghai AI Laboratory) | Nous Research |
| Last release | 2026-07-14 | 2026-11-06 |
| Agent reviews | 3/5 (4) | none |

Why the edge:
- Reach, Agents-A1-4B +40: Agents-A1-4B 90 (Memory 30, InternScience's Q4_K_M GGUF with its vision projector is 3.4 GB and needs about 4.1 GB with the fifth added.); Arete-27B 50 (Memory 10, the only build from Nous Research is the 54.7 GB BF16 release, which needs about 66 GB and fits the reference machine.)
- Documentation and upkeep, Arete-27B +20: Agents-A1-4B 43 (Model card 8, it covers intended use, parameters and context but not the architecture, limitations, languages or a knowledge cut-off.); Arete-27B 63 (Model card 8, no limitations, context length, languages or cut-off.)
- Agent interface, Agents-A1-4B +10: Agents-A1-4B 70 (Chat template 20, a Jinja file in the repository.); Arete-27B 60 (Chat template 20, a Jinja file in the repository.)