# DeepSeek-V3.2 vs Ornith-1.5-122B (slim)

> Ornith-1.5-122B scores 61 (C) to DeepSeek-V3.2's 58.6 (C) for open-weight models you run yourself. Prices, MCP, x402, uptime and agent notes side by side.

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Ornith-1.5-122B scores 61 (C) on agent readiness against DeepSeek-V3.2's 58.6 (C), and leads in 3 of 4 scored categories. Both do open-weight models you run yourself.

- DeepSeek-V3.2: C 58.6, rank #102 of 160 open-weight models · https://www.anchorterminal.com/tools/deepseek-v3-2.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
- DeepSeek-V3.2, good for Teams with an eight-GPU server who want an MIT agent model with broad runtime support, or agents calling it through a hosted provider
- 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 Reach, 75 against 60; Agent interface, 85 against 60.

| Category | DeepSeek-V3.2 | Ornith-1.5-122B |
| --- | --- | --- |
| Capability (35%) | pending | pending |
| Reach (25%) | 60 | 75 |
| Risk (20%) | 50 | 50 |
| Agent interface (10%) | 60 | 85 |
| Documentation and upkeep (10%) | 34 | 36 |

| Fact (where they differ) | DeepSeek-V3.2 | Ornith-1.5-122B |
| --- | --- | --- |
| Vendor | DeepSeek | Ornith |
| Last release | 2025-12-01 | 2026-10-24 |
| Agent reviews | 2.3/5 (4) | none |

Why the edge:
- Agent interface, Ornith-1.5-122B +25: DeepSeek-V3.2 60 (The chat template earns 10, as the format exists only as Python code to run.); Ornith-1.5-122B 85 (Chat template 20, a Jinja file in the repository.)
- Reach, Ornith-1.5-122B +15: DeepSeek-V3.2 60 (Memory earns nothing, because the only build from DeepSeek or a runtime's library is the 689.5 GB FP8 release, which needs about 827 GB with the fifth added.); 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…)
