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LFM2 24B A2B

LFM2-24B-A2B uses Liquid AIโ€™s hybrid backbone (gated short convolutions plus a limited number of attention layers) in an MoE configuration, targeting high throughput while keeping memory needs practical for consumer-class machines, and it is positioned for agentic tool use, offline summarization, and local RAG workflows.
Text Gen 4
Released: February 24, 2026

Overview

LFM2-24B-A2B is a hybrid Mixture-of-Experts language model designed for efficient on-device deployment, scaling to 24B total parameters with a small active parameter set per token.

Pricing

Compare LFM2 24B A2B with other models listed in the same vendor pricing tiers and context lengths.

Tier

Standard

Model Input Cached input Output Unit
Deepseek V4 Pro DeepSeek
$1.74 $0.2 $3.48 per 1M tokens
$0.28 - $0.86 per 1M tokens
GLM 5 Z.ai
$1 - $3.2 per 1M tokens
GLM 5.1 Z.ai
$1.4 $0.26 $4.4 per 1M tokens
Kimi K2.6 Moonshot AI
$1.2 $0.2 $4.5 per 1M tokens
Kimi K2.7 Code Moonshot AI
$0.95 $0.19 $4 per 1M tokens
LFM2 24B A2B This model Liquid AI
$0.03 - $0.12 per 1M tokens
Llama 3.3 Meta Platforms
$1.04 - $1.04 per 1M tokens
MiniMax M2.5 MiniMax
$0.3 $0.06 $1.2 per 1M tokens
MiniMax M2.7 MiniMax
$0.3 $0.06 $1.2 per 1M tokens
MiniMax M3 MiniMax
$0.3 $0.06 $1.2 per 1M tokens
$0.6 $0.2 $3.6 per 1M tokens
Qwen 3.5 9B Alibaba
$0.17 - $0.25 per 1M tokens
Qwen 3.6 Plus Alibaba
$0.5 - $3 per 1M tokens
Qwen 3.7 Max Alibaba
$1.25 $0.13 $3.75 per 1M tokens
Qwen3 235B A22B Alibaba
$0.2 - $0.6 per 1M tokens
$0.6 $0.35 $3.6 per 1M tokens
Qwen3.7-Plus Alibaba
$0.32 - $1.28 per 1M tokens

About Liquid AI

Liquid AI is an MIT spin-off building efficient general-purpose AI models (Liquid Foundation Models, or LFMs) that run on edge devices with less memory and power.
They recently raised $250M in Series A funding to scale model development and deployment.

Industry: Artificial Intelligence
Company Size: 105
Location: Cambridge, MA, US
Website: liquid.ai
View Company Profile

Tools using LFM2 24B A2B

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Last updated: April 6, 2026
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