# Kronos vs LFM3-Omni-2B (slim)

> LFM3-Omni-2B scores 61 (C) to Kronos's 55.2 (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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LFM3-Omni-2B scores 61 (C) on agent readiness against Kronos's 55.2 (C), and leads in 2 of 4 scored categories. Kronos leads on risk and documentation and upkeep. Both do open-weight models you run yourself.

- Kronos: C 55.2, rank #122 of 160 open-weight models · https://www.anchorterminal.com/tools/kronos.min.md
- LFM3-Omni-2B: C 61, rank #71 of 160 open-weight models · https://www.anchorterminal.com/tools/lfm3-omni-2b.min.md
- Kronos, good for Agents that need a quick local forecast or synthetic sample of a candlestick series on modest hardware, for research or as one input among others. Ahead on Risk, 50 against 40; Documentation and upkeep, 61 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 55; Agent interface, 70 against 60.

| Category | Kronos | LFM3-Omni-2B |
| --- | --- | --- |
| Capability (35%) | pending | pending |
| Reach (25%) | 55 | 80 |
| Risk (20%) | 50 | 40 |
| Agent interface (10%) | 60 | 70 |
| Documentation and upkeep (10%) | 61 | 49 |

| Fact (where they differ) | Kronos | LFM3-Omni-2B |
| --- | --- | --- |
| Vendor | Yu Shi (shiyu-coder, NeoQuasar), Tsinghua University | Liquid AI |
| Licence | MIT | LFM Open License v1.0 (free commercial use below $10M annual revenue) |
| llms.txt | no | yes |
| Last release | 2026-04-13 | 2026-11-03 |
| Popularity | 43k stars | none |

Why the edge:
- Reach, LFM3-Omni-2B +25: Kronos 55 (Memory 30, the publisher's Kronos-mini with its tokeniser is 0.03 GB and even Kronos-base is 0.43 GB in FP32. Runtimes 0, it runs only through the publisher's o…); 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.)
- Documentation and upkeep, Kronos +12: Kronos 61 (Model card 11, intended use, architecture, parameters and context are there, limitations, languages and a cut-off aren't.); 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)…)
- Risk, Kronos +10: Kronos 50 (File safety 15, safetensors only, but the only documented loading path is the publisher's Python package in place of a runtime.); LFM3-Omni-2B 40 (File safety 15, safetensors only, no .bin, .pt or .pth files (25).)
- Agent interface, LFM3-Omni-2B +10: Kronos 60 (Read for a forecasting model, the tool-calling, trained tool calling and structured-output lines stand for what it takes and returns.); 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.)