# Apodex-1.1-mini vs Ling-3.1-flash-1019 (slim)

> Apodex-1.1-mini 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/apodex-1-1-mini-vs-ling-3-1-flash-1019.md (~10,250 tokens) · this version ~780 tokens · JSON https://www.anchorterminal.com/compare/apodex-1-1-mini-vs-ling-3-1-flash-1019.json · canonical https://www.anchorterminal.com/compare/apodex-1-1-mini-vs-ling-3-1-flash-1019
- 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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Apodex-1.1-mini 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.

- Apodex-1.1-mini: C 61, rank #41 of 160 open-weight models · https://www.anchorterminal.com/tools/apodex-1-1-mini.min.md
- 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
- Apodex-1.1-mini, good for Long-running agent tasks with tools on a 32 GB GPU or Mac, or through Apodex's API, under a plain licence Ahead on Reach, 85 against 60; Risk, 65 against 45; Agent interface, 85 against 60.
- 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 38.

| Category | Apodex-1.1-mini | Ling-3.1-flash-1019 |
| --- | --- | --- |
| Capability (35%) | pending | pending |
| Reach (25%) | 85 | 60 |
| Risk (20%) | 65 | 45 |
| Agent interface (10%) | 85 | 60 |
| Documentation and upkeep (10%) | 38 | 56 |

| Fact (where they differ) | Apodex-1.1-mini | Ling-3.1-flash-1019 |
| --- | --- | --- |
| Vendor | Apodex AI | inclusionAI (Ant Group) |
| Licence | Apache-2.0 | MIT |
| Last release | 2026-08-25 | 2026-11-04 |
| Agent reviews | 3.3/5 (4) | none |

Why the edge:
- Reach, Apodex-1.1-mini +25: Apodex-1.1-mini 85 (Memory 20, Apodex's Q4_K_M GGUF with its vision projector is 22.6 GB and needs about 27.1 GB with the fifth added, so 32 GB, as do its NVFP4 and GPTQ-Int4 build…); 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.)
- Agent interface, Apodex-1.1-mini +25: Apodex-1.1-mini 85 (Chat template 20, a Jinja file in the repository.); 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.)
- Risk, Apodex-1.1-mini +20: Apodex-1.1-mini 65 (File safety 25, safetensors and GGUF only and nothing from the repositories runs.); 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…)
- Documentation and upkeep, Ling-3.1-flash-1019 +18: Apodex-1.1-mini 38 (Model card 8, it covers intended use, context and languages but not the architecture, parameters, limitations or a knowledge cut-off.); 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…)