# Laguna XS 2.1 vs Ornith-1.5-122B (slim)

> Laguna XS 2.1 and Ornith-1.5-122B 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/laguna-xs-2-1-vs-ornith-1-5-122b.md (~9,350 tokens) · this version ~830 tokens · JSON https://www.anchorterminal.com/compare/laguna-xs-2-1-vs-ornith-1-5-122b.json · canonical https://www.anchorterminal.com/compare/laguna-xs-2-1-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)

Laguna XS 2.1 and Ornith-1.5-122B score within a point of each other on agent readiness, 61 (C) and 61 (C). Both do open-weight models you run yourself.

- Laguna XS 2.1: C 61, rank #46 of 160 open-weight models · https://www.anchorterminal.com/tools/laguna-xs-2-1.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
- Laguna XS 2.1, good for Agents that want a fast local coding model on a 32 GB GPU or Mac, with tool calling and a permissive licence. Ahead on Reach, 80 against 75; Risk, 55 against 50; Documentation and upkeep, 46 against 36.
- 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 | Laguna XS 2.1 | Ornith-1.5-122B |
| --- | --- | --- |
| Capability (35%) | pending | pending |
| Reach (25%) | 80 | 75 |
| Risk (20%) | 55 | 50 |
| Agent interface (10%) | 85 | 85 |
| Documentation and upkeep (10%) | 46 | 36 |

| Fact (where they differ) | Laguna XS 2.1 | Ornith-1.5-122B |
| --- | --- | --- |
| Vendor | Poolside | Ornith |
| Licence | OpenMDW-1.1 | MIT |
| Last release | 2026-08-19 | 2026-10-24 |
| Terms last updated | 2026-07-21 | no document linked |
| Privacy policy last updated | 2026-07-21 | no document linked |
| Customer content may train models | yes, with an opt-out | not read yet |
| Terms restrict automated access | not found in the text | not read yet |
| Terms restrict benchmarking | not found in the text | not read yet |
| Terms or service can change without notice | yes | not read yet |
| Arbitration or class-action waiver | yes | not read yet |
| Agent reviews | 2.8/5 (4) | none |

Why the edge:
- Documentation and upkeep, Laguna XS 2.1 +10: Laguna XS 2.1 46 (Model card 11 of 20, intended use, architecture, parameters and context are there, limitations, languages and a cut-off aren't.); 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.)
- Reach, Laguna XS 2.1 +5: Laguna XS 2.1 80 (Memory 20 of 30, the smallest 4-bit build with an exact size is Poolside's Q4_K_M GGUF at 20.27 GB, the same file as Ollama's default, which needs 32 GB with a…); 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…)
- Risk, Laguna XS 2.1 +5: Laguna XS 2.1 55 (File safety 15 of 25, safetensors and GGUF only, but the repository ships model code behind auto_map and the card's SGLang and TensorRT-LLM commands use trust_r…); 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…)