LLM Reference

LFM-2 Models by Liquid AI

2 models2025Up to 32k ctxFrom $0.03/1M input

About

LFM-2 (Liquid Foundation Model 2) is Liquid AI's second-generation hybrid architecture model series, combining attention-based and structured state-space layers for efficient long-context inference.

Current Variants

Use-when guidance is derived from seed capabilities, context, release, and replacement fields.

2 in view

Use when the workload needs 8k context and 23.8B parameters.

2025-128k context23.8B parameters

Use when the workload needs 32k context, 24B parameters, and tool use.

2025-1132k context24B parameterstool use

Release Timeline

2 release groups
2025-12
1 current
Together LFM2-24B
8k context23.8B parameters
Current
2025-11
1 current
LFM2-24B-A2B
32k context24B parameterstool use
Current

Specifications(2 models)

LFM-2 model specifications comparison
ModelReleasedContextParametersFn CallingTool UseStructured Outputs
Together LFM2-24B2025-128k23.8BNoNoNo
LFM2-24B-A2B2025-1132k24BYesYesYes

Available From(1 provider)

Pricing

LFM-2 model pricing by provider
ModelProviderInput / 1MOutput / 1MType
LFM2-24B-A2BOpenRouter$0.03$0.12Serverless

Frequently Asked Questions

What is LFM-2 used for?
LFM-2 is used for agent workflows and tool use and structured outputs. The family description and listed model capabilities point to those workloads as the best fit.
How does LFM-2 compare to LFM-2.5?
LFM-2 by Liquid AI is strongest where you need agent workflows and tool use, while LFM-2.5 by Liquid AI is the closest related family to check for reasoning. LFM-2 has 2 listed variants and reaches up to 32k context, while LFM-2.5 reaches up to 128k context, so compare the specs and pricing tables before choosing a production model.
Which LFM-2 model should I use?
For the lowest listed input price, start with LFM2-24B-A2B through OpenRouter at $0.03/1M input tokens. For the most capable/latest local choice, evaluate LFM2-24B-A2B with 32k context and tool use, function calling, and structured outputs.

Models(2)