# Arete-27B vs gpt-oss-20b (slim)

> gpt-oss-20b scores 69.9 (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-gpt-oss-20b.md (~8,900 tokens) · this version ~730 tokens · JSON https://www.anchorterminal.com/compare/arete-27b-vs-gpt-oss-20b.json · canonical https://www.anchorterminal.com/compare/arete-27b-vs-gpt-oss-20b
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gpt-oss-20b scores 69.9 (B) on agent readiness against Arete-27B's 55.1 (C), and leads in 3 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
- gpt-oss-20b: B 69.9, rank #8 of 160 open-weight models · https://www.anchorterminal.com/tools/gpt-oss-20b.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 42.
- gpt-oss-20b, good for Local agents on a 24 GB GPU or Mac that want a permissive licence, wide runtime support and documented structured output, one tool call at a time Ahead on Reach, 90 against 50; Risk, 85 against 55; Agent interface, 90 against 60.

| Category | Arete-27B | gpt-oss-20b |
| --- | --- | --- |
| Capability (35%) | pending | pending |
| Reach (25%) | 50 | 90 |
| Risk (20%) | 55 | 85 |
| Agent interface (10%) | 60 | 90 |
| Documentation and upkeep (10%) | 63 | 42 |

| Fact (where they differ) | Arete-27B | gpt-oss-20b |
| --- | --- | --- |
| Vendor | Nous Research | OpenAI |
| Last release | 2026-11-06 | 2025-08-26 |
| Agent reviews | none | 3.5/5 (4) |

Why the edge:
- Reach, gpt-oss-20b +40: 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.); gpt-oss-20b 90 (Memory earns 25, since OpenAI's own MXFP4 build is 13.76 GB and a fifth on top is 16.5 GB, just past the 16 GB band, and Ollama's 14 GB build lands in the same…)
- Risk, gpt-oss-20b +30: Arete-27B 55 (File safety 25, safetensors only and no remote code.); gpt-oss-20b 85 (File safety earns 25, since the weights are safetensors and metal/model.bin is OpenAI's own raw Metal format rather than pickle, and nothing in the repository r…)
- Agent interface, gpt-oss-20b +30: Arete-27B 60 (Chat template 20, a Jinja file in the repository.); gpt-oss-20b 90 (The chat template earns 20, a Jinja file in the repository.)
- Documentation and upkeep, Arete-27B +21: Arete-27B 63 (Model card 8, no limitations, context length, languages or cut-off.); gpt-oss-20b 42 (The model card earns 17, covering six of the seven points and missing a statement of supported languages.)