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LFM2-24B-A2B

by liquid · Released Feb 2026

Open Source
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Context
33K tokens (~16 books)
Input $/1M
$0.03
Output $/1M
$0.12
Type
text
License
Open Source
Benchmarks
3 tested
Data updated today
About

LFM2-24B-A2B is the largest model in the LFM2 family of hybrid architectures designed for efficient on-device deployment. Built as a 24B parameter Mixture-of-Experts model with only 2B active parameters per...

Tested on 3 benchmarks with 0.0% average. Top scores: Artificial Analysis — Quality Index (10.5%), Artificial Analysis — Agentic Index (3.7%), Artificial Analysis — Coding Index (3.6%).

Capabilities
speed
9.9
#64 globally
Benchmark Scores
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Tested on 3 benchmarks · Ranked across 1 categories
Score Distribution (all 233 models)
0255075100
Artificial Analysis — Quality Index

Artificial Analysis Quality Index. Composite quality score combining multiple benchmark results into a single metric.

10.5
Artificial Analysis — Agentic Index

Artificial Analysis Agentic Index. Composite score measuring agent capability across tool use and planning tasks.

3.7
Artificial Analysis — Coding Index

Artificial Analysis Coding Index. Composite coding quality score from multiple code benchmarks.

3.6
Excellent (85+) Good (70-85) Average (50-70) Below (<50)
Links
Documentation
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BenchGecko API
lfm-2-24b-a2b
Specifications
  • Typetext
  • Context33K tokens (~16 books)
  • ReleasedFeb 2026
  • LicenseOpen Source
  • StatusActive
  • Cost / Message~$0.000
Available On
liquid logoliquid$0.03
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LFM2-24B-A2B is an open-source text AI model by liquid, released in February 2026. Context window: 33K tokens.