LiquidAI: LFM2-24B-A2B
LiquidAI's LFM2-24B-A2B is extremely affordable but benchmarks confirm very limited reasoning and coding capability — suitable only for the most basic text tasks where cost is the primary concern.
Assessment date: March 12, 2026
Our methodology takes into account a range of factors including pricing, functionality, capabilities, benchmark performance, and real-world applicability. Rankings are reviewed and updated regularly as new models are released. Issues with our rankings? Contact us
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 token, it delivers high-quality generation while maintaining low inference costs. The model fits within 32 GB of RAM, making it practical to run on consumer laptops and desktops without sacrificing capability.
Architecture
| Modality | Text → Text |
| Tokenizer | Other |
| Parameters | 24B |
Performance Indices
Source: Artificial Analysis
Benchmark Scores
Evaluations
Benchmark data from Artificial Analysis and Hugging Face
Model Information
Pricing
| Token Type | Cost per 1M tokens | Cost per 1K tokens |
|---|---|---|
| Input | $0.03 | $0.000030 |
| Output | $0.12 | $0.000120 |
Live Performance
Live endpoint metrics — refreshed every 30 minutes.
