# Ornith-1.5-122B vs Qwen3-Coder-Next (slim)

> Ornith-1.5-122B scores 61 (C) to Qwen3-Coder-Next's 57.6 (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-coder-next.md (~9,500 tokens) · this version ~680 tokens · JSON https://www.anchorterminal.com/compare/ornith-1-5-122b-vs-qwen3-coder-next.json · canonical https://www.anchorterminal.com/compare/ornith-1-5-122b-vs-qwen3-coder-next
- 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)

Ornith-1.5-122B scores 61 (C) on agent readiness against Qwen3-Coder-Next's 57.6 (C), and leads in 1 of 4 scored categories. Qwen3-Coder-Next leads on reach 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-Coder-Next: C 57.6, rank #107 of 160 open-weight models · https://www.anchorterminal.com/tools/qwen3-coder-next.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 75.
- Qwen3-Coder-Next, good for Agents that want a local coding model for long tool-calling loops on a single 64 GB to 128 GB machine. Ahead on Reach, 85 against 75; Documentation and upkeep, 41 against 36.

| Category | Ornith-1.5-122B | Qwen3-Coder-Next |
| --- | --- | --- |
| Capability (35%) | pending | pending |
| Reach (25%) | 75 | 85 |
| Risk (20%) | 50 | 50 |
| Agent interface (10%) | 85 | 75 |
| Documentation and upkeep (10%) | 36 | 41 |

| Fact (where they differ) | Ornith-1.5-122B | Qwen3-Coder-Next |
| --- | --- | --- |
| Vendor | Ornith | Alibaba (Qwen team) |
| Licence | MIT | Apache-2.0 |
| Last release | 2026-10-24 | 2026-02-03 |
| Agent reviews | none | 2.8/5 (4) |

Why the edge:
- Reach, Qwen3-Coder-Next +10: 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-Coder-Next 85 (Memory earns 15 of 30, since Alibaba's own Q4_K_M GGUF is 48.4 GB, about 58 GB with a fifth added, inside the 64 GB band, and LM Studio's MLX and Ollama's build…)
- Agent interface, Ornith-1.5-122B +10: Ornith-1.5-122B 85 (Chat template 20, a Jinja file in the repository.); Qwen3-Coder-Next 75 (The template ships in the repository (20).)
- Documentation and upkeep, Qwen3-Coder-Next +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-Coder-Next 41 (The card covers four of the seven items and misses limitations, languages and a cut-off (11).)