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

> Inkling scores 64.7 (B) to LFM3-Audio-2B's 61 (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-vs-lfm3-audio-2b.md (~8,850 tokens) · this version ~680 tokens · JSON https://www.anchorterminal.com/compare/inkling-vs-lfm3-audio-2b.json · canonical https://www.anchorterminal.com/compare/inkling-vs-lfm3-audio-2b
- Index: https://www.anchorterminal.com/llms.txt · API: https://www.anchorterminal.com/api/v1/index.json · MCP: https://www.anchorterminal.com/mcp · Updated: 2026-11-10
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Inkling scores 64.7 (B) on agent readiness against LFM3-Audio-2B's 61 (C), and leads in 2 of 4 scored categories. LFM3-Audio-2B leads on reach. 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-Audio-2B: C 61, rank #70 of 160 open-weight models · https://www.anchorterminal.com/tools/lfm3-audio-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 52.
- LFM3-Audio-2B, good for Voice agents on a laptop or phone that need speech in, speech out and tool calls from one small model Ahead on Reach, 80 against 50.

| Category | Inkling | LFM3-Audio-2B |
| --- | --- | --- |
| Capability (35%) | pending | pending |
| Reach (25%) | 50 | 80 |
| Risk (20%) | 70 | 40 |
| Agent interface (10%) | 85 | 85 |
| Documentation and upkeep (10%) | 87 | 52 |

| Fact (where they differ) | Inkling | LFM3-Audio-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 | 2026-11-03 |
| Agent reviews | 3/5 (4) | none |

Why the edge:
- Documentation and upkeep, Inkling +35: Inkling 87 (Model card 17 of 20, everything but a dated knowledge cut-off, counting Thinking Machines' own model card page.); LFM3-Audio-2B 52 (Model card 17, Intended use (local agents, tool calling, structured outputs, fine-tuning), limitations (not recommended for agentic coding or complex multi-step…)
- Reach, LFM3-Audio-2B +30: 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-Audio-2B 80 (Memory 30, Liquid's Q4_K_M GGUF is 1.10 GB with its 0.17 GB projector file, and 1.27 GB × 1.2 = 1.5 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-Audio-2B 40 (File safety 15, safetensors only, no .bin, .pt or .pth files (25).)