LiquidAI: LFM2-8B-A1B
LiquidAI's LFM2-8B-A1B is one of the most affordable models available, but its benchmark performance is very limited across all dimensions. It may serve as an ultra-low-cost option for simple text tasks, but is not recommended for professional business applications.
Assessment date: March 14, 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
LFM2-8B-A1B is an efficient on-device Mixture-of-Experts (MoE) model from Liquid AI’s LFM2 family, built for fast, high-quality inference on edge hardware. It uses 8.3B total parameters with only ~1.5B active per token, delivering strong performance while keeping compute and memory usage low—making it ideal for phones, tablets, and laptops.
Architecture
| Modality | Text → Text |
| Tokenizer | Other |
| Parameters | 8B |
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 | $0.01 | $0.000010 |
| Output | $0.02 | $0.000020 |
Live Performance
Live endpoint metrics — refreshed every 30 minutes.
