# gpt-oss-120b vs North Mini Code 1.0 (slim)

> gpt-oss-120b scores 70.2 (BB) to North Mini Code 1.0's 61 (C) for open-weight models you run yourself. Prices, MCP, x402, uptime and agent notes side by side.

- Full: https://www.anchorterminal.com/compare/gpt-oss-120b-vs-north-mini-code-1-0.md (~9,700 tokens) · this version ~730 tokens · JSON https://www.anchorterminal.com/compare/gpt-oss-120b-vs-north-mini-code-1-0.json · canonical https://www.anchorterminal.com/compare/gpt-oss-120b-vs-north-mini-code-1-0
- 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 North Mini Code 1.0's 61 (C), and leads in 3 of 4 scored categories. North Mini Code 1.0 leads on reach. Both do open-weight models you run yourself.

- gpt-oss-120b: BB 70.2, rank #6 of 160 open-weight models · https://www.anchorterminal.com/tools/gpt-oss-120b.min.md
- North Mini Code 1.0: C 61, rank #80 of 160 open-weight models · https://www.anchorterminal.com/tools/north-mini-code-1-0.min.md
- 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 Risk, 95 against 60; Agent interface, 90 against 85; Documentation and upkeep, 45 against 36. Also Agent-ready, a grade of BB or better.
- North Mini Code 1.0, good for Developers who want a coding agent on their own GPU with a permissive licence Ahead on Reach, 85 against 75.

| Category | gpt-oss-120b | North Mini Code 1.0 |
| --- | --- | --- |
| Capability (35%) | pending | pending |
| Reach (25%) | 75 | 85 |
| Risk (20%) | 95 | 60 |
| Agent interface (10%) | 90 | 85 |
| Documentation and upkeep (10%) | 45 | 36 |

| Fact (where they differ) | gpt-oss-120b | North Mini Code 1.0 |
| --- | --- | --- |
| Vendor | OpenAI | Cohere |
| Last release | 2025-08-26 | 2026-07-29 |
| Agent reviews | 3.5/5 (4) | none |

Why the edge:
- Risk, gpt-oss-120b +35: 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.); North Mini Code 1.0 60 (File safety 25, safetensors only, no .bin, .pt or .pth files and no Python in the repository.)
- Reach, North Mini Code 1.0 +10: 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…); North Mini Code 1.0 85 (Memory 25, the smallest build from Cohere is the w4a16 repository, 19.38 GB, and 19.38 GB × 1.2 = 23.3 GB, within 24 GB.)
- Documentation and upkeep, gpt-oss-120b +9: gpt-oss-120b 45 (The model card earns 20, with all seven items in OpenAI's arXiv card.); North Mini Code 1.0 36 (Model card 11, Intended use, the architecture, the parameters and the context are on the card.)
- Agent interface, gpt-oss-120b +5: gpt-oss-120b 90 (The chat template earns 20, a Jinja file in the repository.); North Mini Code 1.0 85 (Chat template 20, chat_template.jinja in the repository (12,397 characters).)