# Kimi K3 vs MiMo-V2.6 Distill Qwen 9B (slim)

> Kimi K3 scores 62.4 (B) to MiMo-V2.6 Distill Qwen 9B'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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Kimi K3 scores 62.4 (B) on agent readiness against MiMo-V2.6 Distill Qwen 9B's 61 (C), and leads in 2 of 4 scored categories. MiMo-V2.6 Distill Qwen 9B leads on reach and agent interface. Both do open-weight models you run yourself.

- Kimi K3: B 62.4, rank #29 of 100 open-weight models · https://www.anchorterminal.com/tools/kimi-k3.min.md
- MiMo-V2.6 Distill Qwen 9B: C 61, rank #41 of 100 open-weight models · https://www.anchorterminal.com/tools/mimo-v2-6-distill-qwen-9b.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.
- MiMo-V2.6 Distill Qwen 9B, good for Researchers and agents that want a small coding and terminal-agent model to fine-tune further, on a 24 GB GPU or larger. Ahead on Reach, 70 against 50; Agent interface, 70 against 65.

| Category | Kimi K3 | MiMo-V2.6 Distill Qwen 9B |
| --- | --- | --- |
| Capability (35%) | pending | pending |
| Reach (25%) | 50 | 70 |
| Risk (20%) | 65 | 60 |
| Agent interface (10%) | 65 | 70 |
| Documentation and upkeep (10%) | 41 | 40 |

| Fact (where they differ) | Kimi K3 | MiMo-V2.6 Distill Qwen 9B |
| --- | --- | --- |
| Vendor | Moonshot AI | Xiaomi (MiMo team) |
| Licence | Kimi K3 License (modified MIT) | MIT (metadata only, no LICENSE file); built on Qwen3.5-9B under Apache 2.0 |
| Last release | 2026-09-02 | 2026-09-21 |
