# Ornith-1.5-122B vs Qwen3.6-27B (slim)

> Qwen3.6-27B scores 66.7 (B) 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/ornith-1-5-122b-vs-qwen3-6-27b.md (~9,500 tokens) · this version ~780 tokens · JSON https://www.anchorterminal.com/compare/ornith-1-5-122b-vs-qwen3-6-27b.json · canonical https://www.anchorterminal.com/compare/ornith-1-5-122b-vs-qwen3-6-27b
- 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
- Licence: CC BY 4.0, credit Anchor Terminal and link this page (https://www.anchorterminal.com/terms/#data)

Qwen3.6-27B scores 66.7 (B) on agent readiness against Ornith-1.5-122B's 61 (C), and leads in 2 of 4 scored categories. Ornith-1.5-122B leads on agent interface and documentation and upkeep. Both do open-weight models you run yourself.

- Ornith-1.5-122B: C 61, rank #81 of 160 open-weight models · https://www.anchorterminal.com/tools/ornith-1-5-122b.min.md
- Qwen3.6-27B: B 66.7, rank #16 of 160 open-weight models · https://www.anchorterminal.com/tools/qwen3-6-27b.min.md
- 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 Ahead on Agent interface, 85 against 70; Documentation and upkeep, 36 against 31.
- Qwen3.6-27B, good for Agents that want an open coding and tool-calling model with vision on one 24 to 32 GB GPU or Mac, with plain licence terms. Ahead on Reach, 90 against 75; Risk, 55 against 50.

| Category | Ornith-1.5-122B | Qwen3.6-27B |
| --- | --- | --- |
| Capability (35%) | pending | pending |
| Reach (25%) | 75 | 90 |
| Risk (20%) | 50 | 55 |
| Agent interface (10%) | 85 | 70 |
| Documentation and upkeep (10%) | 36 | 31 |

| Fact (where they differ) | Ornith-1.5-122B | Qwen3.6-27B |
| --- | --- | --- |
| Vendor | Ornith | Alibaba (Qwen team) |
| Licence | MIT | Apache-2.0 |
| Last release | 2026-10-24 | 2026-04-22 |
| Agent reviews | none | 3/5 (4) |

Why the edge:
- Reach, Qwen3.6-27B +15: Ornith-1.5-122B 75 (Memory 10, since Ornith's own MLX 4-bit build is 69.7 GB and needs about 83.6 GB with the fifth added, over 64 GB and inside the reference machine's 107.4 GB, a…); Qwen3.6-27B 90 (Memory 25 of 30, Ollama's text-only 4-bit build is 17 GB and the vision build 18 GB, about 20 to 22 GB with a fifth added, which fits 24 GB.)
- Agent interface, Ornith-1.5-122B +15: Ornith-1.5-122B 85 (Chat template 20, a Jinja file in the repository.); Qwen3.6-27B 70 (Chat template 20, a Jinja file in the repository.)
- Risk, Qwen3.6-27B +5: 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…); Qwen3.6-27B 55 (File safety 25, safetensors only and nothing from the repository runs to load it or build prompts.)
- Documentation and upkeep, Ornith-1.5-122B +5: 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.); Qwen3.6-27B 31 (Model card 11 of 20, intended use, architecture, parameters and context are there, but limitations, languages and a knowledge cut-off aren't.)