# Arete-27B vs gpt-oss-120b (slim)

> gpt-oss-120b scores 70.2 (BB) 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-120b.md (~8,750 tokens) · this version ~680 tokens · JSON https://www.anchorterminal.com/compare/arete-27b-vs-gpt-oss-120b.json · canonical https://www.anchorterminal.com/compare/arete-27b-vs-gpt-oss-120b
- 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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gpt-oss-120b scores 70.2 (BB) 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-120b: BB 70.2, rank #6 of 160 open-weight models · https://www.anchorterminal.com/tools/gpt-oss-120b.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 45.
- gpt-oss-120b, good for Agents on one 80 GB GPU or a 128 GB unified machine that want an Apache 2.0 reasoning model with wide runtime support Ahead on Reach, 75 against 50; Risk, 95 against 55; Agent interface, 90 against 60. Also Agent-ready, a grade of BB or better.

| Category | Arete-27B | gpt-oss-120b |
| --- | --- | --- |
| Capability (35%) | pending | pending |
| Reach (25%) | 50 | 75 |
| Risk (20%) | 55 | 95 |
| Agent interface (10%) | 60 | 90 |
| Documentation and upkeep (10%) | 63 | 45 |

| Fact (where they differ) | Arete-27B | gpt-oss-120b |
| --- | --- | --- |
| Vendor | Nous Research | OpenAI |
| Last release | 2026-11-06 | 2025-08-26 |
| Agent reviews | none | 3.5/5 (4) |

Why the edge:
- Risk, gpt-oss-120b +40: Arete-27B 55 (File safety 25, safetensors only and no remote code.); gpt-oss-120b 95 (File safety earns 25, safetensors only, with metal/model.bin a raw format and not pickle, and nothing from the repository runs on load.)
- Agent interface, gpt-oss-120b +30: Arete-27B 60 (Chat template 20, a Jinja file in the repository.); gpt-oss-120b 90 (The chat template earns 20, a Jinja file in the repository.)
- Reach, gpt-oss-120b +25: 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-120b 75 (Memory earns 10, because the smallest 4-bit build, Ollama's 65 GB gpt-oss:120b, needs about 78 GB with the fifth added, which fits the reference machine but not…)
- Documentation and upkeep, Arete-27B +18: Arete-27B 63 (Model card 8, no limitations, context length, languages or cut-off.); gpt-oss-120b 45 (The model card earns 20, with all seven items in OpenAI's arXiv card.)