# Ling-3.1-flash-1019 vs MiMo-V2.6 Distill Qwen 9B (slim)

> MiMo-V2.6 Distill Qwen 9B scores 61 (C) to Ling-3.1-flash-1019's 54.8 (C) for open-weight models you run yourself. Prices, MCP, x402, uptime and agent notes side by side.

- Full: https://www.anchorterminal.com/compare/ling-3-1-flash-1019-vs-mimo-v2-6-distill-qwen-9b.md (~10,900 tokens) · this version ~830 tokens · JSON https://www.anchorterminal.com/compare/ling-3-1-flash-1019-vs-mimo-v2-6-distill-qwen-9b.json · canonical https://www.anchorterminal.com/compare/ling-3-1-flash-1019-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 Ling-3.1-flash-1019's 54.8 (C), and leads in 3 of 4 scored categories. Ling-3.1-flash-1019 leads on documentation and upkeep. Both do open-weight models you run yourself.

- Ling-3.1-flash-1019: C 54.8, rank #126 of 160 open-weight models · https://www.anchorterminal.com/tools/ling-3-1-flash-1019.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
- Ling-3.1-flash-1019, good for Teams with a multi-GPU server that want an MIT-licensed flagship for long agent runs and coding Ahead on Documentation and upkeep, 56 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 60; Risk, 65 against 45; Agent interface, 70 against 60.

| Category | Ling-3.1-flash-1019 | MiMo-V2.6 Distill Qwen 9B |
| --- | --- | --- |
| Capability (35%) | pending | pending |
| Reach (25%) | 60 | 80 |
| Risk (20%) | 45 | 65 |
| Agent interface (10%) | 60 | 70 |
| Documentation and upkeep (10%) | 56 | 40 |

| Fact (where they differ) | Ling-3.1-flash-1019 | MiMo-V2.6 Distill Qwen 9B |
| --- | --- | --- |
| Vendor | inclusionAI (Ant Group) | Xiaomi (MiMo team) |
| Licence | MIT | MIT (metadata only, no LICENSE file); built on Qwen3.5-9B under Apache 2.0 |
| Last release | 2026-11-04 | 2026-09-21 |
| Agent reviews | none | 2.3/5 (4) |

Why the edge:
- Reach, MiMo-V2.6 Distill Qwen 9B +20: Ling-3.1-flash-1019 60 (Memory 0, inclusionAI's only build is the FP8 release at 573.78 GB, × 1.2 = 688.5 GB, above 256 GB, and no runtime's library has a build.); 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 +20: Ling-3.1-flash-1019 45 (File safety 15, safetensors only, no .bin, .pt or .pth files (25), less 10 because the card's documented vLLM command passes --trust-remote-code, which runs the…); MiMo-V2.6 Distill Qwen 9B 65 (File safety 25, safetensors only and no repository code runs.)
- Documentation and upkeep, Ling-3.1-flash-1019 +16: Ling-3.1-flash-1019 56 (Model card 11, Intended use (complex reasoning, multi-step tasks and agentic workflows), architecture, parameters (560B total, 25B active) and context (1M claim…); 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 +10: Ling-3.1-flash-1019 60 (Chat template 20, chat_template.jinja in the repository (6,042 characters), which handles tools, the thinking switch and preserved reasoning.); MiMo-V2.6 Distill Qwen 9B 70 (Chat template 20, a Jinja file in the repository.)