Context
33K tokens (~16 books)
Input $/1M
Free
Output $/1M
Free
Type
text
License
Open Source
Benchmarks
3 tested
Data updated today
About
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 with 0.0% average. Top scores: Artificial Analysis — Quality Index (8.0%), Artificial Analysis — Agentic Index (3.6%), Artificial Analysis — Coding Index (0.8%).
Capabilities
speed
6.9
#68 globally
Benchmark Scores
Compare AllTested on 3 benchmarks · Ranked across 1 categories
Score Distribution (all 233 models)
0255075100
speedCompare speed →
Artificial Analysis — Quality Index
8.0—Artificial Analysis Quality Index. Composite quality score combining multiple benchmark results into a single metric.
Artificial Analysis — Agentic Index
3.6—Artificial Analysis Agentic Index. Composite score measuring agent capability across tool use and planning tasks.
Artificial Analysis — Coding Index
0.8—Artificial Analysis Coding Index. Composite coding quality score from multiple code benchmarks.
Excellent (85+) Good (70-85) Average (50-70) Below (<50)
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BenchGecko API
lfm-2-5-1-2b-instruct-free
Specifications
- Typetext
- Context33K tokens (~16 books)
- ReleasedJan 2026
- LicenseOpen Source
- StatusActive
- Cost / Message~$0.000
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Frequently Asked Questions
LFM2.5-1.2B-Instruct (free) is an open-source text AI model by liquid, released in January 2026. Context window: 33K tokens.