Small open model with 24B parameters and 2B active, designed for high-end consumer devices. Outperforms similar-sized models like Qwen 3.6 and Gemma 4 on average, is fast, 48 GB, and mostly Apache 2.0.
Liquid AI's 24B-parameter mixture-of-experts LFM with 2B active parameters, built for fast on-device agents.
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LFM2.5-24B-A2B at a glance
- What is LFM2.5-24B-A2B?
- LFM2.5-24B-A2B is a model from Liquid AI. Liquid AI's 24B-parameter mixture-of-experts LFM with 2B active parameters, built for fast on-device agents.
- Who makes LFM2.5-24B-A2B?
- LFM2.5-24B-A2B is made by Liquid AI.
- Does LFM2.5-24B-A2B work in the EU?
- Available in the EU. Open weights can be downloaded and run anywhere, and no EU exclusion appears in the provided pages. Liquid AI's privacy policy has a dedicated European Residents section covering GDPR rights. Last verified 14 Nov 2026.
- How much does LFM2.5-24B-A2B cost?
- Open source. Free weights for research, education, non-profits and businesses under $10M annual revenue; paid enterprise license above $10M. Hosted API: $0.05/M input, $0.025/M cached input, $0.70/M output tokens. Licence: LFM Open License.
- Where was LFM2.5-24B-A2B shown?
- In 1 creator video by AI Search. Most recently by AI Search on 18 Oct 2026, at 37:45 in “Quantum breakthrough, Gemini 4 Argon, MOSS Image, KLING 4, OpenAI spy, Muse Wonder: AI NEWS”.
Sources: the vendor's own pages (linked above) and creator videos at the linked timestamps. EU status is information, not legal advice; see how we check.
LFM2.5-24B-A2B is a Liquid Foundation Model from Liquid AI with 24 billion total parameters and about 2 billion active per token. It is positioned for fast on-device agents on high-end consumer hardware. Liquid AI announced it on 13 October (per its news feed, 2026). A YouTube review describes the weights as about 48 GB and reports that it beats similar-sized models such as Qwen 3.6 and Gemma 4 on average; this is a creator claim and not independently verified here.
The weights are open and released under Liquid's LFM Open License. According to the pricing page, the license is free for research, education, non-profit use, and for businesses with under $10M annual revenue. Companies above that threshold need a paid license. The license has no copyleft, so fine-tunes stay private. A reviewer described it as mostly Apache 2.0, but the official pricing page refers to the LFM Open License, so it is not an OSI-style open source license.
Liquid AI lists support for runtimes including llama.cpp, MLX, ONNX, Ollama, SGLang and vLLM. It also offers a hosted API at $0.05 per million input tokens (cached $0.025) and $0.70 per million output tokens. Enterprise customers can get bespoke models and on-prem deployment support. The exact modalities and context length were not given in the provided material; the model is treated here as text-in, text-out.
- 24B total parameters, ~2B active (mixture-of-experts)
- Designed for fast on-device agents on high-end consumer hardware
- Downloadable open weights (~48 GB reported)
- Runs on llama.cpp, MLX, ONNX, Ollama, SGLang, vLLM
- Hosted API at $0.05/M input and $0.70/M output tokens
As seen on YouTube
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