LiquidAI: LFM2-2.6B
LiquidAI's LFM2-2.6B is a tiny, extremely cheap model with very limited benchmark performance across reasoning, coding, and instruction following. It is best viewed as a research or edge-deployment model rather than a practical business tool.
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 is a new generation of hybrid models developed by Liquid AI, specifically designed for edge AI and on-device deployment. It sets a new standard in terms of quality, speed, and memory efficiency.
Architecture
| Modality | Text → Text |
| Tokenizer | Other |
| Parameters | 6B |
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.
