# Ling-3.1-flash-1019 vs Qwen3.6-35B-A3B (slim)

> Qwen3.6-35B-A3B scores 62.7 (B) 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-qwen3-6-35b-a3b.md (~10,350 tokens) · this version ~830 tokens · JSON https://www.anchorterminal.com/compare/ling-3-1-flash-1019-vs-qwen3-6-35b-a3b.json · canonical https://www.anchorterminal.com/compare/ling-3-1-flash-1019-vs-qwen3-6-35b-a3b
- 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)

Qwen3.6-35B-A3B scores 62.7 (B) 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
- Qwen3.6-35B-A3B: B 62.7, rank #27 of 160 open-weight models · https://www.anchorterminal.com/tools/qwen3-6-35b-a3b.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 31.
- Qwen3.6-35B-A3B, good for Agents with a 32 GB or larger machine that want a quick, permissively licensed coding and tool-calling cousin with vision. Ahead on Reach, 85 against 60; Risk, 55 against 45; Agent interface, 70 against 60.

| Category | Ling-3.1-flash-1019 | Qwen3.6-35B-A3B |
| --- | --- | --- |
| Capability (35%) | pending | pending |
| Reach (25%) | 60 | 85 |
| Risk (20%) | 45 | 55 |
| Agent interface (10%) | 60 | 70 |
| Documentation and upkeep (10%) | 56 | 31 |

| Fact (where they differ) | Ling-3.1-flash-1019 | Qwen3.6-35B-A3B |
| --- | --- | --- |
| Vendor | inclusionAI (Ant Group) | Alibaba (Qwen team) |
| Licence | MIT | Apache-2.0 |
| Last release | 2026-11-04 | 2026-04-16 |
| Agent reviews | none | 2.8/5 (4) |

Why the edge:
- Reach, Qwen3.6-35B-A3B +25: 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.); Qwen3.6-35B-A3B 85 (Memory earns 20 because the smallest 4-bit build from a runtime's own library is Ollama's Q4_K_M at 23 GB, which comes to 27.6 GB with the fifth added, so it ne…)
- Documentation and upkeep, Ling-3.1-flash-1019 +25: 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…); Qwen3.6-35B-A3B 31 (The model card earns 11, covering intended use, architecture, parameters and context but not limitations, languages or a cut-off.)
- Risk, Qwen3.6-35B-A3B +10: 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…); Qwen3.6-35B-A3B 55 (File safety earns 25 for safetensors only, loaded by the runtimes' own code and a Jinja template with nothing run from the repository.)
- Agent interface, Qwen3.6-35B-A3B +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.); Qwen3.6-35B-A3B 70 (The chat template earns 20 as a Jinja file in the repository.)