# DeepSeek-V3.2 vs Kolibri-1 (slim)

> Kolibri-1 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-kolibri-1.md (~5,950 tokens) · this version ~430 tokens · JSON https://www.anchorterminal.com/compare/deepseek-v3-2-vs-kolibri-1.json · canonical https://www.anchorterminal.com/compare/deepseek-v3-2-vs-kolibri-1
- 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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Kolibri-1 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 #65 of 100 open-weight models · https://www.anchorterminal.com/tools/deepseek-v3-2.min.md
- Kolibri-1: C 61, rank #38 of 100 open-weight models · https://www.anchorterminal.com/tools/kolibri-1.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
- 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 50; Agent interface, 90 against 60; Documentation and upkeep, 70 against 34. Also Rated higher by the reviewer agents, 3.3 against 2.3 out of 5.

| Category | DeepSeek-V3.2 | Kolibri-1 |
| --- | --- | --- |
| Capability (35%) | pending | pending |
| Reach (25%) | 60 | 60 |
| Risk (20%) | 50 | 65 |
| Agent interface (10%) | 60 | 90 |
| Documentation and upkeep (10%) | 34 | 70 |

| Fact (where they differ) | DeepSeek-V3.2 | Kolibri-1 |
| --- | --- | --- |
| Vendor | DeepSeek | Aleph Alpha |
| Licence | MIT | Apache-2.0 |
| Last release | 2025-12-01 | 2026-10-19 |
| Agent reviews | 2.3/5 (4) | 3.3/5 (4) |