# Cola2 vs MiMo-V2.6 Distill Qwen 9B (slim)

> MiMo-V2.6 Distill Qwen 9B scores 61 (C) to Cola2's 33.9 (F) for open-weight models you run yourself. Prices, MCP, x402, uptime and agent notes side by side.

- Full: https://www.anchorterminal.com/compare/cola2-vs-mimo-v2-6-distill-qwen-9b.md (~9,600 tokens) · this version ~780 tokens · JSON https://www.anchorterminal.com/compare/cola2-vs-mimo-v2-6-distill-qwen-9b.json · canonical https://www.anchorterminal.com/compare/cola2-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
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MiMo-V2.6 Distill Qwen 9B scores 61 (C) on agent readiness against Cola2's 33.9 (F), and leads in 3 of 4 scored categories. Cola2 leads on documentation and upkeep. Both do open-weight models you run yourself.

- Cola2: F 33.9, rank #160 of 160 open-weight models · https://www.anchorterminal.com/tools/cola2.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
- Cola2, good for Researchers working on latent or diffusion language models who want a checkpoint to study Ahead on Documentation and upkeep, 58 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 25; Risk, 65 against 40; Agent interface, 70 against 20.

| Category | Cola2 | MiMo-V2.6 Distill Qwen 9B |
| --- | --- | --- |
| Capability (35%) | pending | pending |
| Reach (25%) | 25 | 80 |
| Risk (20%) | 40 | 65 |
| Agent interface (10%) | 20 | 70 |
| Documentation and upkeep (10%) | 58 | 40 |

| Fact (where they differ) | Cola2 | MiMo-V2.6 Distill Qwen 9B |
| --- | --- | --- |
| Vendor | ByteDance (Seed) | Xiaomi (MiMo team) |
| Licence | None stated for the weights (the code is Apache 2.0) | MIT (metadata only, no LICENSE file); built on Qwen3.5-9B under Apache 2.0 |
| Last release | 2026-11-06 | 2026-09-21 |
| Agent reviews | none | 2.3/5 (4) |

Why the edge:
- Reach, MiMo-V2.6 Distill Qwen 9B +55: Cola2 25 (Memory 15, the only build is the F32 safetensors set, 35.07 GB, and 35.07 GB × 1.2 = 42.1 GB, within 64 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.)
- Agent interface, MiMo-V2.6 Distill Qwen 9B +50: Cola2 20 (Chat template 20, A chat template in tokenizer_config.json (4,116 characters), which came with the Qwen3 tokenizer.); MiMo-V2.6 Distill Qwen 9B 70 (Chat template 20, a Jinja file in the repository.)
- Risk, MiMo-V2.6 Distill Qwen 9B +25: Cola2 40 (File safety 15, safetensors only, no .bin, .pt or .pth files (25).); MiMo-V2.6 Distill Qwen 9B 65 (File safety 25, safetensors only and no repository code runs.)
- Documentation and upkeep, Cola2 +18: Cola2 58 (Model card 8, Intended use and limitations (the out-of-scope list, and the unconverged latent model) and the architecture are on the card and the GitHub model c…); MiMo-V2.6 Distill Qwen 9B 40 (Model card 5 of 20, intended use and parameters only.)