# MiMo-V2.6 Distill Qwen 9B vs Ornith-1.5-122B (slim)

> MiMo-V2.6 Distill Qwen 9B and Ornith-1.5-122B score within a point of each other for open-weight models you run yourself, 61 and 61 out of 100. 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: 2026-11-10
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MiMo-V2.6 Distill Qwen 9B and Ornith-1.5-122B score within a point of each other on agent readiness, 61 (C) and 61 (C). Ornith-1.5-122B leads on agent interface. Both do open-weight models you run yourself.

- 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
- Ornith-1.5-122B: C 61, rank #81 of 160 open-weight models · https://www.anchorterminal.com/tools/ornith-1-5-122b.min.md
- 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 75; Risk, 65 against 50.
- Ornith-1.5-122B, good for Local coding and terminal agents on a 128 GB unified-memory machine or a 96 GB GPU setup, where a clear licence file and an answering publisher aren't required Ahead on Agent interface, 85 against 70.

| Category | MiMo-V2.6 Distill Qwen 9B | Ornith-1.5-122B |
| --- | --- | --- |
| Capability (35%) | pending | pending |
| Reach (25%) | 80 | 75 |
| Risk (20%) | 65 | 50 |
| Agent interface (10%) | 70 | 85 |
| Documentation and upkeep (10%) | 40 | 36 |

| Fact (where they differ) | MiMo-V2.6 Distill Qwen 9B | Ornith-1.5-122B |
| --- | --- | --- |
| Vendor | Xiaomi (MiMo team) | Ornith |
| Licence | MIT (metadata only, no LICENSE file); built on Qwen3.5-9B under Apache 2.0 | MIT |
| Last release | 2026-09-21 | 2026-10-24 |
| Agent reviews | 2.3/5 (4) | none |

Why the edge:
- Risk, MiMo-V2.6 Distill Qwen 9B +15: MiMo-V2.6 Distill Qwen 9B 65 (File safety 25, safetensors only and no repository code runs.); Ornith-1.5-122B 50 (File safety 25, safetensors and GGUF only and no Python in any of Ornith's repositories for this size, so the card's --trust-remote-code flag loads nothing from…)
- Agent interface, Ornith-1.5-122B +15: MiMo-V2.6 Distill Qwen 9B 70 (Chat template 20, a Jinja file in the repository.); Ornith-1.5-122B 85 (Chat template 20, a Jinja file in the repository.)
- Reach, MiMo-V2.6 Distill Qwen 9B +5: 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.); Ornith-1.5-122B 75 (Memory 10, since Ornith's own MLX 4-bit build is 69.7 GB and needs about 83.6 GB with the fifth added, over 64 GB and inside the reference machine's 107.4 GB, a…)