LiquidAI: LFM2.5-1.2B-Instruct (free)
LiquidAI's LFM2.5-1.2B-Instruct is a very small free model with limited reasoning and coding capability — suitable only for the most basic tasks, though its zero cost makes it accessible for experimentation.
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
LFM2.5-1.2B-Instruct is a compact, high-performance instruction-tuned model built for fast on-device AI. It delivers strong chat quality in a 1.2B parameter footprint, with efficient edge inference and broad runtime support.
Architecture
| Modality | Text → Text |
| Tokenizer | Other |
| Parameters | 2B |
Performance Indices
Source: Artificial Analysis
Benchmark Scores
Evaluations
Benchmark data from Artificial Analysis and Hugging Face
Model Information
Live Performance
Live endpoint metrics — refreshed every 30 minutes.
External Resources
Data sourced from OpenRouter API, Artificial Analysis and Hugging Face Open LLM Leaderboard. Scores are editorially curated by our team.
Last updated: March 13, 2026 7:52 pm