AI Observatory / Model Radar
Liquid / liquid/lfm-2-24b-a2b
LiquidAI: LFM2-24B-A2B
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...
32,768
Context
N/A
Max output
$0.03 / 1M
Prompt price
2026-02-25
Created
01 / Snapshot
Pricing, context, modalities, and parameters.
Model Radar detail pages stay neutral and operator-readable: core metadata first, then workflow fit.
| Provider | Liquid | Input modalities | text |
|---|---|---|---|
| Output modalities | text | Prompt price | $0.03 / 1M |
| Completion price | $0.12 / 1M | Request price | N/A |
| Context length | 32,768 | Max completion tokens | N/A |
| Supported parameters | frequency_penalty, logit_bias, max_tokens, min_p, presence_penalty, repetition_penalty, stop, temperature, top_k, top_p | ||
Best for
liquid/lfm-2-24b-a2b
LiquidAI: LFM2-24B-A2B
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...
High-volume usage
new
low-cost
03 / Colophon
Routes and exits.
Each model page stays simple: overview, compare, related models, then back to the public hub.