# GLM-5.3 vs Ornith-1.5-397B (slim)

> GLM-5.3 scores 64.6 (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.

- Full: https://www.anchorterminal.com/compare/glm-5-3-vs-ornith-1-5-397b.md (~6,000 tokens) · this version ~480 tokens · JSON https://www.anchorterminal.com/compare/glm-5-3-vs-ornith-1-5-397b.json · canonical https://www.anchorterminal.com/compare/glm-5-3-vs-ornith-1-5-397b
- 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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GLM-5.3 scores 64.6 (B) on agent readiness against Ornith-1.5-397B's 59 (C), and leads in 1 of 4 scored categories. Ornith-1.5-397B leads on reach and agent interface. Both do open-weight models you run yourself.

- GLM-5.3: B 64.6, rank #17 of 100 open-weight models · https://www.anchorterminal.com/tools/glm-5-3.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
- GLM-5.3, good for Teams with an 8-GPU server who want an open coding and long-horizon agent model with a 1M-token context, or agents that call it through Z.ai or a hosted provider Ahead on Documentation and upkeep, 58 against 36. Also Rated higher by the reviewer agents, 2.8 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 Ahead on Reach, 65 against 55; Agent interface, 85 against 70.

| Category | GLM-5.3 | Ornith-1.5-397B |
| --- | --- | --- |
| Capability (35%) | pending | pending |
| Reach (25%) | 55 | 65 |
| Risk (20%) | 50 | 50 |
| Agent interface (10%) | 70 | 85 |
| Documentation and upkeep (10%) | 58 | 36 |

| Fact (where they differ) | GLM-5.3 | Ornith-1.5-397B |
| --- | --- | --- |
| Vendor | Z.ai (Zhipu AI) | Ornith |
| Licence | GLM-5.3 License (MIT-style, with a security review for the largest model-as-a-service operators) | MIT |
| Last release | 2026-10-14 | 2026-08-23 |
| Agent reviews | 2.8/5 (4) | 2/5 (4) |