# Inkling vs LFM3-VL-2B (slim)

> Inkling scores 64.7 (B) to LFM3-VL-2B's 61 (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 scores 64.7 (B) on agent readiness against LFM3-VL-2B's 61 (C), and leads in 2 of 4 scored categories. LFM3-VL-2B leads on reach and agent interface. Both do open-weight models you run yourself.

- Inkling: B 64.7, rank #19 of 160 open-weight models · https://www.anchorterminal.com/tools/inkling.min.md
- LFM3-VL-2B: C 61, rank #72 of 160 open-weight models · https://www.anchorterminal.com/tools/lfm3-vl-2b.min.md
- Inkling, good for Agents calling a hosted open multimodal model with audio input, or teams with a multi-GPU datacentre node who want to run it themselves. Ahead on Risk, 70 against 40; Documentation and upkeep, 87 against 77.
- LFM3-VL-2B, good for Agents on a laptop, phone or robot that need to read screens, documents, images and video from a model under 2 GB at 4 bits Ahead on Reach, 85 against 50; Agent interface, 90 against 85.

| Category | Inkling | LFM3-VL-2B |
| --- | --- | --- |
| Capability (35%) | pending | pending |
| Reach (25%) | 50 | 85 |
| Risk (20%) | 70 | 40 |
| Agent interface (10%) | 85 | 90 |
| Documentation and upkeep (10%) | 87 | 77 |

| Fact (where they differ) | Inkling | LFM3-VL-2B |
| --- | --- | --- |
| Vendor | Thinking Machines Lab | Liquid AI |
| Licence | Apache-2.0 | LFM Open License v1.0 (free commercial use below $10M annual revenue) |
| llms.txt | no | yes |
| Last release | 2026-07-23 | 2026-11-09 |
| Agent reviews | 3/5 (4) | none |

Why the edge:
- Reach, LFM3-VL-2B +35: Inkling 50 (Memory 0 of 30, the smallest 4-bit build is Thinking Machines' NVFP4 at 592.0 GB, about 710 GB with a fifth added, far above 256 GB.); LFM3-VL-2B 85 (Memory 30, Liquid's Q4_K_M GGUF is 1.10 GB with its 0.20 GB projector file, and 1.30 GB × 1.2 = 1.6 GB, which fits 8 GB, well inside the 16 GB line.)
- Risk, Inkling +30: Inkling 70 (File safety 25, safetensors only and no repository code to run.); LFM3-VL-2B 40 (File safety 15, safetensors only, no .bin, .pt or .pth files (25).)
- Documentation and upkeep, Inkling +10: Inkling 87 (Model card 17 of 20, everything but a dated knowledge cut-off, counting Thinking Machines' own model card page.); LFM3-VL-2B 77 (Model card 17, Intended use (questions about video, documents, charts and app screens, finding objects, spatial reasoning), a limitation (not recommended for co…)
- Agent interface, LFM3-VL-2B +5: Inkling 85 (Chat template 20, a Jinja file in the repository.); LFM3-VL-2B 90 (Chat template 20, chat_template.jinja in the repository (12,129 characters), with roles, images and video, tools, deferred tools, tool results and the thinking…)