# Granite 4.2 3B vs LFM3-Omni-2B (slim)

> LFM3-Omni-2B scores 61 (C) to Granite 4.2 3B's 59.8 (C) for open-weight models you run yourself. Prices, MCP, x402, uptime and agent notes side by side.

- Full: https://www.anchorterminal.com/compare/granite-4-2-3b-vs-lfm3-omni-2b.md (~9,450 tokens) · this version ~780 tokens · JSON https://www.anchorterminal.com/compare/granite-4-2-3b-vs-lfm3-omni-2b.json · canonical https://www.anchorterminal.com/compare/granite-4-2-3b-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: 2026-11-10
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LFM3-Omni-2B scores 61 (C) on agent readiness against Granite 4.2 3B's 59.8 (C), and leads in 0 of 4 scored categories. Granite 4.2 3B leads on reach, risk, agent interface and documentation and upkeep. Both do open-weight models you run yourself.

- Granite 4.2 3B: C 59.8, rank #92 of 160 open-weight models · https://www.anchorterminal.com/tools/granite-4-2-3b.min.md
- LFM3-Omni-2B: C 61, rank #71 of 160 open-weight models · https://www.anchorterminal.com/tools/lfm3-omni-2b.min.md
- Granite 4.2 3B, good for Agents on small hardware that want a permissive reasoning model for tool calls and coding, with thinking they can switch off Ahead on Reach, 95 against 80; Risk, 55 against 40; Agent interface, 85 against 70; Documentation and upkeep, 92 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

| Category | Granite 4.2 3B | LFM3-Omni-2B |
| --- | --- | --- |
| Capability (35%) | pending | pending |
| Reach (25%) | 95 | 80 |
| Risk (20%) | 55 | 40 |
| Agent interface (10%) | 85 | 70 |
| Documentation and upkeep (10%) | 92 | 49 |

| Fact (where they differ) | Granite 4.2 3B | LFM3-Omni-2B |
| --- | --- | --- |
| Vendor | IBM | Liquid AI |
| Licence | Apache-2.0 | LFM Open License v1.0 (free commercial use below $10M annual revenue) |
| llms.txt | no | yes |
| Last release | 2026-10-20 | 2026-11-03 |
| Agent reviews | 3.8/5 (4) | none |

Why the edge:
- Documentation and upkeep, Granite 4.2 3B +43: Granite 4.2 3B 92 (The card covers everything but a knowledge cut-off (17).); 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)…)
- Reach, Granite 4.2 3B +15: Granite 4.2 3B 95 (Memory earns the full 30, since IBM's 4-bit MLX build is 2.07 GB and Ollama's Q4_K_M build 2.2 GB, about 2.5 to 2.6 GB with the fifth added.); 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, Granite 4.2 3B +15: Granite 4.2 3B 55 (File safety gets 15 of 25, safetensors only, less 10 because the card's vLLM command loads the repository's parser plugin.); LFM3-Omni-2B 40 (File safety 15, safetensors only, no .bin, .pt or .pth files (25).)
- Agent interface, Granite 4.2 3B +15: Granite 4.2 3B 85 (The template ships in the repository (20).); 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.)