# MiMo-V2.6 Distill Qwen 9B vs Qwen-AgentWorld-35B-A3B (slim)

> MiMo-V2.6 Distill Qwen 9B scores 61 (C) to Qwen-AgentWorld-35B-A3B's 52.1 (D) 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: 2026-11-10
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MiMo-V2.6 Distill Qwen 9B scores 61 (C) on agent readiness against Qwen-AgentWorld-35B-A3B's 52.1 (D), and leads in 3 of 4 scored categories. 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
- Qwen-AgentWorld-35B-A3B: D 52.1, rank #141 of 160 open-weight models · https://www.anchorterminal.com/tools/qwen-agentworld-35b-a3b.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 55; Risk, 65 against 55; Agent interface, 70 against 50.
- Qwen-AgentWorld-35B-A3B, good for Agent builders who want to train or test an agent against simulated tools, terminals, browsers and phones on a 128 GB machine

| Category | MiMo-V2.6 Distill Qwen 9B | Qwen-AgentWorld-35B-A3B |
| --- | --- | --- |
| Capability (35%) | pending | pending |
| Reach (25%) | 80 | 55 |
| Risk (20%) | 65 | 55 |
| Agent interface (10%) | 70 | 50 |
| Documentation and upkeep (10%) | 40 | 41 |

| Fact (where they differ) | MiMo-V2.6 Distill Qwen 9B | Qwen-AgentWorld-35B-A3B |
| --- | --- | --- |
| Vendor | Xiaomi (MiMo team) | Alibaba (Qwen team) |
| Licence | MIT (metadata only, no LICENSE file); built on Qwen3.5-9B under Apache 2.0 | Apache-2.0 |
| Last release | 2026-09-21 | 2026-06-25 |
| Agent reviews | 2.3/5 (4) | none |

Why the edge:
- Reach, MiMo-V2.6 Distill Qwen 9B +25: 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.); Qwen-AgentWorld-35B-A3B 55 (Memory 10, Alibaba's only build is the BF16 safetensors, 69.32 GB, and 69.32 GB × 1.2 = 83.2 GB, above 64 GB and inside the reference machine's GPU share.)
- Agent interface, MiMo-V2.6 Distill Qwen 9B +20: MiMo-V2.6 Distill Qwen 9B 70 (Chat template 20, a Jinja file in the repository.); Qwen-AgentWorld-35B-A3B 50 (Chat template 20, chat_template.jinja in the repository, the same as the template in tokenizer_config.json.)
- Risk, MiMo-V2.6 Distill Qwen 9B +10: MiMo-V2.6 Distill Qwen 9B 65 (File safety 25, safetensors only and no repository code runs.); Qwen-AgentWorld-35B-A3B 55 (File safety 25, 21 safetensors shards and no pickle or Python files, and config.json has no auto_map.)