{"source":"BenchGecko","url":"https://benchgecko.ai/model/lfm2-8b-a1b","as_of":"2026-03-27","license":"BenchGecko collected data (prices, provider offers, Gecko Tests) is CC BY 4.0 · https://creativecommons.org/licenses/by/4.0/. Benchmark scores belong to their original publishers (see sources) and are aggregated with attribution. Attribution required: \"Source: BenchGecko\" with a link.","attribution":"Source: BenchGecko · https://benchgecko.ai/model/lfm2-8b-a1b","cite":"LFM2-8B-A1B · benchmarks, pricing and providers. BenchGecko, data as of 2026-03-27. https://benchgecko.ai/model/lfm2-8b-a1b","slug":"lfm2-8b-a1b","name":"LFM2-8B-A1B","provider":{"name":"liquid","slug":"liquid"},"model_type":"text","release_date":"2025-10-20","is_open_source":true,"status":"active","context_window":32768,"description":"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.","benchgecko_score":null,"avg_score":0,"list_price":{"input_usd_per_m":0.01,"output_usd_per_m":0.02,"source":"OpenRouter models API (checked daily)","as_of":"2026-10-05"},"pricing":{"input":0.01,"output":0.02},"providers":[],"cheapest_provider":null,"providers_source":null,"scores":[],"gecko_tests":null,"links":{"page":"https://benchgecko.ai/model/lfm2-8b-a1b","json":"https://benchgecko.ai/api/v1/models/lfm2-8b-a1b","price_history":"https://benchgecko.ai/api/v1/price-history/lfm2-8b-a1b","provider_prices":null}}