# DeepSeek-V3.2 vs Ornith-1.5-35B-A3B (slim)

> Ornith-1.5-35B-A3B 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.

- Full: https://www.anchorterminal.com/compare/deepseek-v3-2-vs-ornith-1-5-35b-a3b.md (~6,250 tokens) · this version ~430 tokens · JSON https://www.anchorterminal.com/compare/deepseek-v3-2-vs-ornith-1-5-35b-a3b.json · canonical https://www.anchorterminal.com/compare/deepseek-v3-2-vs-ornith-1-5-35b-a3b
- Index: https://www.anchorterminal.com/llms.txt · API: https://www.anchorterminal.com/api/v1/index.json · MCP: https://www.anchorterminal.com/mcp · Updated: 2026-10-21
- Licence: CC BY 4.0, credit Anchor Terminal and link this page (https://www.anchorterminal.com/terms/#data)

Ornith-1.5-35B-A3B scores 61 (C) on agent readiness against DeepSeek-V3.2's 58.6 (C), and leads in 2 of 4 scored categories. Both do open-weight models you run yourself.

- DeepSeek-V3.2: C 58.6, rank #65 of 100 open-weight models · https://www.anchorterminal.com/tools/deepseek-v3-2.min.md
- Ornith-1.5-35B-A3B: C 61, rank #43 of 100 open-weight models · https://www.anchorterminal.com/tools/ornith-1-5-35b-a3b.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-1.5-35B-A3B, good for Local coding and terminal agents on a 24 to 32 GB GPU or a Mac, where a clear licence file and an answering publisher aren't required Ahead on Reach, 90 against 60; Agent interface, 85 against 60.

| Category | DeepSeek-V3.2 | Ornith-1.5-35B-A3B |
| --- | --- | --- |
| Capability (35%) | pending | pending |
| Reach (25%) | 60 | 90 |
| Risk (20%) | 50 | 50 |
| Agent interface (10%) | 60 | 85 |
| Documentation and upkeep (10%) | 34 | 31 |

| Fact (where they differ) | DeepSeek-V3.2 | Ornith-1.5-35B-A3B |
| --- | --- | --- |
| Vendor | DeepSeek | Ornith |
| Last release | 2025-12-01 | 2026-08-23 |