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.
Tested on 3 benchmarks. Top scores: Artificial Analysis — Agentic Index (3.6%), Artificial Analysis — Quality Index (2.7%), Artificial Analysis — Coding Index (0.8%).
Artificial Analysis Agentic Index. Composite score measuring agent capability across tool use and planning tasks.
Artificial Analysis Quality Index. Composite quality score combining multiple benchmark results into a single metric.
Artificial Analysis Coding Index. Composite coding quality score from multiple code benchmarks.
- Typetext
- Context33K tokens (~16 books)
- ReleasedJan 2026
- LicenseOpen Source
- StatusActive
- Cost / Message~$0.000
Frequently Asked Questions
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- LFM2.5-1.2B-Instruct (free) by liquid. Not enough public benchmark scores to rank yet.
- List price free input · free output per 1M tokens (as of 2026-07-11).
How to cite · data as of 2026-07-11
LFM2.5-1.2B-Instruct (free) · benchmarks, pricing and providers. BenchGecko, data as of 2026-07-11. https://benchgecko.ai/model/lfm-2-5-1-2b-instruct-free
Credit "Source: BenchGecko" with a link. Prices per provider and Gecko Tests are BenchGecko data (CC BY 4.0); benchmark scores keep their original source, listed in the JSON. JSON · llms.txt · MCP