# Kimi K3.1 Pro vs MiMo-V2.6 Distill Qwen 9B (slim)

> MiMo-V2.6 Distill Qwen 9B scores 61 (C) to Kimi K3.1 Pro's 48.6 (D) for open-weight models you run yourself. Prices, MCP, x402, uptime and agent notes side by side.

- Full: https://www.anchorterminal.com/compare/kimi-k3-1-pro-vs-mimo-v2-6-distill-qwen-9b.md (~9,900 tokens) · this version ~730 tokens · JSON https://www.anchorterminal.com/compare/kimi-k3-1-pro-vs-mimo-v2-6-distill-qwen-9b.json · canonical https://www.anchorterminal.com/compare/kimi-k3-1-pro-vs-mimo-v2-6-distill-qwen-9b
- Index: https://www.anchorterminal.com/llms.txt · API: https://www.anchorterminal.com/api/v1/index.json · MCP: https://www.anchorterminal.com/mcp · Updated: 2026-11-10
- Licence: CC BY 4.0, credit Anchor Terminal and link this page (https://www.anchorterminal.com/terms/#data)

MiMo-V2.6 Distill Qwen 9B scores 61 (C) on agent readiness against Kimi K3.1 Pro's 48.6 (D), and leads in 3 of 4 scored categories. Kimi K3.1 Pro leads on documentation and upkeep. Both do open-weight models you run yourself.

- Kimi K3.1 Pro: D 48.6, rank #151 of 160 open-weight models · https://www.anchorterminal.com/tools/kimi-k3-1-pro.min.md
- MiMo-V2.6 Distill Qwen 9B: C 61, rank #47 of 160 open-weight models · https://www.anchorterminal.com/tools/mimo-v2-6-distill-qwen-9b.min.md
- Kimi K3.1 Pro, good for Operators with a multi-accelerator node who want Moonshot's newest open-weight model for coding and long agent sessions, and everyone else through an API Ahead on Documentation and upkeep, 51 against 40.
- 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 to run at 4-bit through Ollama in about 8 GB. Ahead on Reach, 80 against 40; Risk, 65 against 50; Agent interface, 70 against 65.

| Category | Kimi K3.1 Pro | MiMo-V2.6 Distill Qwen 9B |
| --- | --- | --- |
| Capability (35%) | pending | pending |
| Reach (25%) | 40 | 80 |
| Risk (20%) | 50 | 65 |
| Agent interface (10%) | 65 | 70 |
| Documentation and upkeep (10%) | 51 | 40 |

| Fact (where they differ) | Kimi K3.1 Pro | MiMo-V2.6 Distill Qwen 9B |
| --- | --- | --- |
| Vendor | Moonshot AI | Xiaomi (MiMo team) |
| Licence | Kimi K3.1 Pro License (modified MIT) | MIT (metadata only, no LICENSE file); built on Qwen3.5-9B under Apache 2.0 |
| Last release | 2026-11-05 | 2026-09-21 |
| Agent reviews | none | 2.3/5 (4) |

Why the edge:
- Reach, MiMo-V2.6 Distill Qwen 9B +40: Kimi K3.1 Pro 40 (Memory 0, the only build is Moonshot's 1,561 GB MXFP4 release, far above 256 GB.); MiMo-V2.6 Distill Qwen 9B 80 (Memory 30 of 30, Ollama's library build at q4_K_M is 6.6 GB, 7.9 GB with a fifth added, while Xiaomi's only build is BF16 at 18.85 GB.)
- Risk, MiMo-V2.6 Distill Qwen 9B +15: Kimi K3.1 Pro 50 (File safety 15, safetensors only, less 10 for remote code and prompts built by the repository's script.); MiMo-V2.6 Distill Qwen 9B 65 (File safety 25, safetensors only and no repository code runs.)
- Documentation and upkeep, Kimi K3.1 Pro +11: Kimi K3.1 Pro 51 (Model card 11, no limitations, languages or cut-off.); MiMo-V2.6 Distill Qwen 9B 40 (Model card 5 of 20, intended use and parameters only.)
- Agent interface, MiMo-V2.6 Distill Qwen 9B +5: Kimi K3.1 Pro 65 (Chat template 10, the format is only code to run.); MiMo-V2.6 Distill Qwen 9B 70 (Chat template 20, a Jinja file in the repository.)
