LFM2-24B-A2B

LFM2-24B-A2B by Liquid AI excels in the Coding category, where it ranks #256 with a composite score of 35/100. 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 token, it delivers high-quality generation while maintaining low inference costs. The model fits within 32 GB of RAM, making it practical to run on consumer laptops and desktops without sacrificing capability. 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.

LFM2-24B-A2B is priced at $0.03 per million input tokens and $0.12 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, LFM2-24B-A2B holds rank #256 out of 6 models tracked. Its quality rank is #256 and adoption rank is #256. 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.

LFM2-24B-A2B 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.

LFM2-24B-A2B 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.