LiquidAI: LFM2.5-1.2B-Instruct (free)
LiquidAI's LFM2.5-1.2B-Instruct is a very small free model with minimal measured capability across all dimensions, appropriate only for the most basic text tasks or edge deployment scenarios.
Assessment date: April 16, 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
Performance Profile
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
Intelligence
Technical
Content
Benchmark data from Artificial Analysis and Hugging Face
How does LiquidAI: LFM2.5-1.2B-Instruct (free) stack up?
Compare side-by-side with other emerging models.
Model Information
| OpenRouter ID |
liquid/lfm-2.5-1.2b-instruct:free
|
| Provider | liquid |
| Release Date | January 20, 2026 |
| Context Length | 32,768 tokens |
| Status | Active |
Live Performance
Live endpoint metrics — refreshed every 30 minutes.
External Resources
Explore Related Models
Data sourced from OpenRouter API, Artificial Analysis and Hugging Face Open LLM Leaderboard. Scores are editorially curated by our team.
Last updated: April 16, 2026 8:54 pm