# GLM-5.3-Flash vs Kolibri-1 (slim)

> GLM-5.3-Flash scores 65.1 (B) to Kolibri-1's 61 (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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GLM-5.3-Flash scores 65.1 (B) on agent readiness against Kolibri-1's 61 (C), and leads in 0 of 4 scored categories. Kolibri-1 leads on risk, agent interface and documentation and upkeep. Both do open-weight models you run yourself.

- GLM-5.3-Flash: B 65.1, rank #16 of 100 open-weight models · https://www.anchorterminal.com/tools/glm-5-3-flash.min.md
- Kolibri-1: C 61, rank #38 of 100 open-weight models · https://www.anchorterminal.com/tools/kolibri-1.min.md
- GLM-5.3-Flash, good for Teams with a multi-GPU server who want an MIT-licensed multimodal agent model with a 1M-token context, or agents that call it through a hosted provider
- Kolibri-1, good for German and English agent work with tools on a machine with about 96 GB of accelerator memory and vLLM, where a permissive licence matters. Ahead on Risk, 65 against 55; Agent interface, 90 against 70; Documentation and upkeep, 70 against 58. Also Rated higher by the reviewer agents, 3.3 against 2.8 out of 5.

| Category | GLM-5.3-Flash | Kolibri-1 |
| --- | --- | --- |
| Capability (35%) | pending | pending |
| Reach (25%) | 60 | 60 |
| Risk (20%) | 55 | 65 |
| Agent interface (10%) | 70 | 90 |
| Documentation and upkeep (10%) | 58 | 70 |

| Fact (where they differ) | GLM-5.3-Flash | Kolibri-1 |
| --- | --- | --- |
| Vendor | Z.ai | Aleph Alpha |
| Licence | MIT | Apache-2.0 |
| Last release | 2026-08-26 | 2026-10-19 |
| Agent reviews | 2.8/5 (4) | 3.3/5 (4) |