# Inkling 2 Small vs LFM3-Omni-2B (slim)

> LFM3-Omni-2B scores 61 (C) to Inkling 2 Small's 58.8 (C) for open-weight models you run yourself. Prices, MCP, x402, uptime and agent notes side by side.

- Full: https://www.anchorterminal.com/compare/inkling-2-small-vs-lfm3-omni-2b.md (~9,800 tokens) · this version ~780 tokens · JSON https://www.anchorterminal.com/compare/inkling-2-small-vs-lfm3-omni-2b.json · canonical https://www.anchorterminal.com/compare/inkling-2-small-vs-lfm3-omni-2b
- Index: https://www.anchorterminal.com/llms.txt · API: https://www.anchorterminal.com/api/v1/index.json · MCP: https://www.anchorterminal.com/mcp · Updated: 2026-11-12
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LFM3-Omni-2B scores 61 (C) on agent readiness against Inkling 2 Small's 58.8 (C), and leads in 1 of 4 scored categories. Inkling 2 Small leads on risk, agent interface and documentation and upkeep. Both do open-weight models you run yourself.

- Inkling 2 Small: C 58.8, rank #102 of 161 open-weight models · https://www.anchorterminal.com/tools/inkling-2-small.min.md
- LFM3-Omni-2B: C 61, rank #71 of 161 open-weight models · https://www.anchorterminal.com/tools/lfm3-omni-2b.min.md
- Inkling 2 Small, good for Teams with 512 GB or more of datacentre GPU memory who want Thinking Machines' newest open multimodal agent model and can run a runtime's pre-release image. Ahead on Risk, 65 against 40; Agent interface, 85 against 70; Documentation and upkeep, 67 against 49.
- LFM3-Omni-2B, good for Voice and camera agents on a laptop or phone that want one small model for hearing, seeing, speaking and calling tools Ahead on Reach, 80 against 40.

| Category | Inkling 2 Small | LFM3-Omni-2B |
| --- | --- | --- |
| Capability (35%) | pending | pending |
| Reach (25%) | 40 | 80 |
| Risk (20%) | 65 | 40 |
| Agent interface (10%) | 85 | 70 |
| Documentation and upkeep (10%) | 67 | 49 |

| Fact (where they differ) | Inkling 2 Small | LFM3-Omni-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 | 2026-11-12 | 2026-11-03 |

Why the edge:
- Reach, LFM3-Omni-2B +40: Inkling 2 Small 40 (Memory 0 of 30, the smallest build is Thinking Machines' NVFP4 checkpoint at 393.5 GB, about 472 GB with a fifth added, above the 256 GB line.); LFM3-Omni-2B 80 (Memory 30, Liquid's Q4_K_M GGUF is 1.10 GB with its 0.29 GB projector file, and 1.39 GB × 1.2 = 1.7 GB, which fits 8 GB, well inside the 16 GB line.)
- Risk, Inkling 2 Small +25: Inkling 2 Small 65 (File safety 25, safetensors only and no repository code to run.); LFM3-Omni-2B 40 (File safety 15, safetensors only, no .bin, .pt or .pth files (25).)
- Documentation and upkeep, Inkling 2 Small +18: Inkling 2 Small 67 (Model card 17 of 20, everything but a dated knowledge cut-off.); LFM3-Omni-2B 49 (Model card 14, Intended use (one on-device model in place of separate speech recognition, vision, language and speech models), architecture, parameters (2.17B)…)
- Agent interface, Inkling 2 Small +15: Inkling 2 Small 85 (Chat template 20, a Jinja file in the repository.); LFM3-Omni-2B 70 (Chat template 20, chat_template.jinja in the repository (13,513 characters), with roles, images, video and audio, tools, deferred tools and tool results.)