# Inkling-Small vs Ling-3.1-flash-1019 (slim)

> Inkling-Small scores 67 (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.

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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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Inkling-Small scores 67 (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 reach. Both do open-weight models you run yourself.

- Inkling-Small: B 67, rank #13 of 160 open-weight models · https://www.anchorterminal.com/tools/inkling-small.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
- Inkling-Small, good for Teams with 256 GB or more of datacentre GPU memory who want an open multimodal agent model with audio input and adjustable thinking. Ahead on Risk, 70 against 45; Agent interface, 85 against 60; Documentation and upkeep, 87 against 56.
- 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 Reach, 60 against 55.

| Category | Inkling-Small | Ling-3.1-flash-1019 |
| --- | --- | --- |
| Capability (35%) | pending | pending |
| Reach (25%) | 55 | 60 |
| Risk (20%) | 70 | 45 |
| Agent interface (10%) | 85 | 60 |
| Documentation and upkeep (10%) | 87 | 56 |

| Fact (where they differ) | Inkling-Small | Ling-3.1-flash-1019 |
| --- | --- | --- |
| Vendor | Thinking Machines Lab | inclusionAI (Ant Group) |
| Licence | Apache-2.0 | MIT |
| Last release | 2026-07-31 | 2026-11-04 |
| Agent reviews | 3.5/5 (4) | none |

Why the edge:
- Documentation and upkeep, Inkling-Small +31: Inkling-Small 87 (Model card 17 of 20, everything but a dated knowledge cut-off, counting Thinking Machines' own model card page.); 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…)
- Risk, Inkling-Small +25: Inkling-Small 70 (File safety 25, safetensors only and no repository code to run.); 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…)
- Agent interface, Inkling-Small +25: Inkling-Small 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.)
- Reach, Ling-3.1-flash-1019 +5: Inkling-Small 55 (Memory 5 of 30, the smallest 4-bit build is Thinking Machines' NVFP4 at 170.8 GB, about 205 GB with a fifth added, so it needs 256 GB.); 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.)