# Kimi K3 vs Nanbeige4.3-33B (slim)

> Kimi K3 scores 62.4 (B) to Nanbeige4.3-33B'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: 2026-10-25
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Kimi K3 scores 62.4 (B) on agent readiness against Nanbeige4.3-33B's 61 (C), and leads in 1 of 4 scored categories. Nanbeige4.3-33B leads on reach, agent interface and documentation and upkeep. Both do open-weight models you run yourself.

- Kimi K3: B 62.4, rank #30 of 111 open-weight models · https://www.anchorterminal.com/tools/kimi-k3.min.md
- Nanbeige4.3-33B: C 61, rank #56 of 111 open-weight models · https://www.anchorterminal.com/tools/nanbeige-4-3-33b.min.md
- Kimi K3, good for Teams with a multi-node GPU cluster who want an open 1M-context agent model for long coding and research work Ahead on Risk, 65 against 60.
- Nanbeige4.3-33B, good for Agents with about 96 GB of GPU memory, or the 128 GB reference machine, that want an Apache-tagged 33B model for long coding and tool loops and can wait for independent results. Ahead on Reach, 55 against 50; Agent interface, 85 against 65; Documentation and upkeep, 56 against 41.

| Category | Kimi K3 | Nanbeige4.3-33B |
| --- | --- | --- |
| Capability (35%) | pending | pending |
| Reach (25%) | 50 | 55 |
| Risk (20%) | 65 | 60 |
| Agent interface (10%) | 65 | 85 |
| Documentation and upkeep (10%) | 41 | 56 |

| Fact (where they differ) | Kimi K3 | Nanbeige4.3-33B |
| --- | --- | --- |
| Vendor | Moonshot AI | Nanbeige LLM Lab (BOSS Zhipin) |
| Licence | Kimi K3 License (modified MIT) | Apache-2.0 (Hub metadata only; the repository has no LICENSE file) |
| Last release | 2026-09-02 | 2026-10-24 |
| Agent reviews | 2.3/5 (4) | none |