Context
33K tokens (~16 books)
Input $/1M
$0.01
Output $/1M
$0.02
Type
text
License
Open Source
Benchmarks
0 tested
Data as of
About
LFM2-8B-A1B is an efficient on-device Mixture-of-Experts (MoE) model from Liquid AI’s LFM2 family, built for fast, high-quality inference on edge hardware. It uses 8.3B total parameters with only ~1.5B active per token, delivering strong performance while keeping compute and memory usage low—making it ideal for phones, tablets, and laptops.
No benchmark data available yet.
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BenchGecko API
lfm2-8b-a1b
Specifications
- Typetext
- Context33K tokens (~16 books)
- ReleasedOct 2025
- LicenseOpen Source
- StatusActive
- Cost / Message~$0.000
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Frequently Asked Questions
LFM2-8B-A1B is an open-source text AI model by liquid, released in October 2025. Context window: 33K tokens.
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Key facts · as of 2026-03-27
- LFM2-8B-A1B by liquid. Not enough public benchmark scores to rank yet.
- List price $0.0100 input · $0.0200 output per 1M tokens (as of 2026-03-27).
How to cite · data as of 2026-03-27
LFM2-8B-A1B · benchmarks, pricing and providers. BenchGecko, data as of 2026-03-27. https://benchgecko.ai/model/lfm2-8b-a1b
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