LFM2-8B-A1B

LFM2-8B-A1B by Liquid AI excels in the Coding category, where it ranks #257 with a composite score of 35/100. 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. It is particularly strong in areas highlighted by its top benchmark performance and adoption metrics, making it suitable for both individual developers and enterprise teams looking for a reliable coding solution.

LFM2-8B-A1B is priced at $0.01 per million input tokens and $0.02 per million output tokens (USD). Contact the provider for volume discounts and enterprise pricing. Pricing is competitive within the coding category and reflects the model's quality-to-cost ratio.

In the Coding category, LFM2-8B-A1B holds rank #257 out of 6 models tracked. Its quality rank is #257 and adoption rank is #257. You can use our comparison tool at /compare to see detailed side-by-side metrics with specific alternatives. Key differentiators include its composite scoring across benchmarks, community sentiment, and real-world adoption rates.

LFM2-8B-A1B has been evaluated across 6 different signals. Its strongest areas include Capabilities (14/100), Context Window (72/100), Output Capacity (20/100). These scores are derived from industry-standard benchmarks, community ratings, and real-world performance metrics. The composite score of 35/100 reflects a weighted combination of all tracked signals.

LFM2-8B-A1B is a paid model, though some providers may offer trial credits or limited free tiers for evaluation. Check Liquid AI's website for current free tier availability and promotional offers.