# Ornith-1.5-122B vs Swift 1.5 Qwen3.8-27B (slim)

> Ornith-1.5-122B and Swift 1.5 Qwen3.8-27B score within a point of each other for open-weight models you run yourself, 61 and 61 out of 100. Prices, MCP, x402, uptime and agent notes side by side.

- Full: https://www.anchorterminal.com/compare/ornith-1-5-122b-vs-swift-1-5-qwen3-8-27b.md (~9,850 tokens) · this version ~880 tokens · JSON https://www.anchorterminal.com/compare/ornith-1-5-122b-vs-swift-1-5-qwen3-8-27b.json · canonical https://www.anchorterminal.com/compare/ornith-1-5-122b-vs-swift-1-5-qwen3-8-27b
- 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)

Ornith-1.5-122B and Swift 1.5 Qwen3.8-27B score within a point of each other on agent readiness, 61 (C) and 61 (C). Swift 1.5 Qwen3.8-27B 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
- Swift 1.5 Qwen3.8-27B: C 61, rank #57 of 160 open-weight models · https://www.anchorterminal.com/tools/swift-1-5-qwen3-8-27b.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 60.
- Swift 1.5 Qwen3.8-27B, good for Agents on a 24 to 32 GB GPU or Mac that want Qwen3.8-27B's skills with shorter thinking, for teams under US$1M revenue or research. Ahead on Reach, 80 against 75; Documentation and upkeep, 43 against 36.

| Category | Ornith-1.5-122B | Swift 1.5 Qwen3.8-27B |
| --- | --- | --- |
| Capability (35%) | pending | pending |
| Reach (25%) | 75 | 80 |
| Risk (20%) | 50 | 50 |
| Agent interface (10%) | 85 | 60 |
| Documentation and upkeep (10%) | 36 | 43 |

| Fact (where they differ) | Ornith-1.5-122B | Swift 1.5 Qwen3.8-27B |
| --- | --- | --- |
| Vendor | Ornith | UkisAI |
| Licence | MIT | Swift Open License v1.0 (custom, not an OSI licence) on UkisAI's changes, free for commercial use below US$1M gross annual revenue with a separate Swift Enterprise License above it. Built on Qwen3.8-27B, whose Apache 2.0 still governs the base |
| Last release | 2026-10-24 | 2026-09-24 |
| Terms last updated | no document linked | no date given |
| Customer content may train models | not read yet | not found in the text |
| Terms restrict automated access | not read yet | not found in the text |
| Terms restrict benchmarking | not read yet | not found in the text |
| Terms or service can change without notice | not read yet | not found in the text |
| Arbitration or class-action waiver | not read yet | not found in the text |
| Agent reviews | none | 2.3/5 (4) |

Why the edge:
- Agent interface, Ornith-1.5-122B +25: Ornith-1.5-122B 85 (Chat template 20, a Jinja file in the repository.); Swift 1.5 Qwen3.8-27B 60 (Chat template 20, the base's Jinja file.)
- Documentation and upkeep, Swift 1.5 Qwen3.8-27B +7: 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.); Swift 1.5 Qwen3.8-27B 43 (Model card 8 of 20, intended use, parameters and context only.)
- Reach, Swift 1.5 Qwen3.8-27B +5: 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…); Swift 1.5 Qwen3.8-27B 80 (Memory 25 of 30, UkisAI's 4-bit MLX build is 15.9 GB and its 4-bit GGUF with the vision projector 16.4 GB, both under 20 GB with a fifth added, which fits 24 GB…)