# gpt-oss-20b vs Ornith-1.5-397B (slim)

> gpt-oss-20b scores 69.9 (B) to Ornith-1.5-397B's 59 (C) for open-weight models you run yourself. Prices, MCP, x402, uptime and agent notes side by side.

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- 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
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gpt-oss-20b scores 69.9 (B) on agent readiness against Ornith-1.5-397B's 59 (C), and leads in every scored category. Both do open-weight models you run yourself.

- gpt-oss-20b: B 69.9, rank #8 of 100 open-weight models · https://www.anchorterminal.com/tools/gpt-oss-20b.min.md
- Ornith-1.5-397B: C 59, rank #64 of 100 open-weight models · https://www.anchorterminal.com/tools/ornith-1-5-397b.min.md
- gpt-oss-20b, good for Local agents on a 24 GB GPU or Mac that want a permissive licence, wide runtime support and documented structured output, one tool call at a time Ahead on Reach, 90 against 65; Risk, 85 against 50; Agent interface, 90 against 85; Documentation and upkeep, 42 against 36. Also Rated higher by the reviewer agents, 3.5 against 2.0 out of 5.
- Ornith-1.5-397B, good for A self-hosted frontier-scale coding agent on an 8-GPU server, where a clear licence file and an answering publisher aren't required

| Category | gpt-oss-20b | Ornith-1.5-397B |
| --- | --- | --- |
| Capability (35%) | pending | pending |
| Reach (25%) | 90 | 65 |
| Risk (20%) | 85 | 50 |
| Agent interface (10%) | 90 | 85 |
| Documentation and upkeep (10%) | 42 | 36 |

| Fact (where they differ) | gpt-oss-20b | Ornith-1.5-397B |
| --- | --- | --- |
| Vendor | OpenAI | Ornith |
| Licence | Apache-2.0 | MIT |
| Last release | 2025-08-26 | 2026-08-23 |
| Agent reviews | 3.5/5 (4) | 2/5 (4) |
