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Daily blended price ($/1M) — recorded each day, builds into a trend over time.
Typical 3:1 output-to-input mix, per 1M tokens
Price as of 2026-05-11 · Source: liquid_reference_catalog
General-purpose text generation, chat, summarization and content workloads where broad capability and low cost matter most.
LFM2-24B-A2B is the largest model in the LFM2 family of hybrid architectures designed for efficient on-device deployment. Built as a 24B parameter Mixture-of-Experts model with only 2B active parameters per...
lfm-2-24b-a2b is a Text model from Liquid (US). HotON.ai tracks it at $0.03 per 1M input tokens and $0.12 per 1M output tokens, with a 33K-token context window. Its composite efficiency score is 89/100 at an estimated $0.000 per successful task.
lfm-2-24b-a2b is tracked at $0.03 per 1M input tokens and $0.12 per 1M output tokens. A typical 3:1 output-to-input workload blends to roughly $0.10 per 1M tokens. Figures are illustrative demo data.
General-purpose text generation, chat, summarization and content workloads where broad capability and low cost matter most.
lfm-2-24b-a2b supports up to a 33K-token context window — large enough for long documents and extended conversations in a single request.
Within the HotON.ai tracked set, lfm-2-24b-a2b is cheaper than 95% of models on input price and ranks #124 of 535 by overall efficiency.
Yes — morph-rerank-v3 is a lower-cost option at $0.00 per 1M output tokens, while still covering similar Text use cases. Compare them side by side on HotON.ai.
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HotON.ai — lfm-2-24b-a2b (Liquid): $0.03/1M input, $0.12/1M output, as of 2026-05-11. https://hoton.ai/en/models/liquid-lfm-2-24b-a2bPricing is real (via the TestKey catalog, updated daily). Quality (Arena Elo) is real where the model is ranked on LMArena. Efficiency is a modeled composite of real price and context.