# gpt-oss-120b vs Ornith-1.5-122B (slim)

> gpt-oss-120b scores 70.2 (BB) to Ornith-1.5-122B'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-ornith-1-5-122b.md (~9,100 tokens) · this version ~680 tokens · JSON https://www.anchorterminal.com/compare/gpt-oss-120b-vs-ornith-1-5-122b.json · canonical https://www.anchorterminal.com/compare/gpt-oss-120b-vs-ornith-1-5-122b
- 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)

gpt-oss-120b scores 70.2 (BB) on agent readiness against Ornith-1.5-122B's 61 (C), and leads in 3 of 4 scored categories. 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
- Ornith-1.5-122B: C 61, rank #81 of 160 open-weight models · https://www.anchorterminal.com/tools/ornith-1-5-122b.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 50; Agent interface, 90 against 85; Documentation and upkeep, 45 against 36. Also Agent-ready, a grade of BB or better.
- Ornith-1.5-122B, good for Local coding and terminal agents on a 128 GB unified-memory machine or a 96 GB GPU setup, where a clear licence file and an answering publisher aren't required

| Category | gpt-oss-120b | Ornith-1.5-122B |
| --- | --- | --- |
| Capability (35%) | pending | pending |
| Reach (25%) | 75 | 75 |
| Risk (20%) | 95 | 50 |
| Agent interface (10%) | 90 | 85 |
| Documentation and upkeep (10%) | 45 | 36 |

| Fact (where they differ) | gpt-oss-120b | Ornith-1.5-122B |
| --- | --- | --- |
| Vendor | OpenAI | Ornith |
| Licence | Apache-2.0 | MIT |
| Last release | 2025-08-26 | 2026-10-24 |
| Agent reviews | 3.5/5 (4) | none |

Why the edge:
- Risk, gpt-oss-120b +45: 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.); Ornith-1.5-122B 50 (File safety 25, safetensors and GGUF only and no Python in any of Ornith's repositories for this size, so the card's --trust-remote-code flag loads nothing from…)
- 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.); Ornith-1.5-122B 36 (Model card 11, it covers intended use, architecture, parameters and context but not limitations, languages or a knowledge cut-off.)
- Agent interface, gpt-oss-120b +5: gpt-oss-120b 90 (The chat template earns 20, a Jinja file in the repository.); Ornith-1.5-122B 85 (Chat template 20, a Jinja file in the repository.)