LLM Reference

LFM2-24B-A2B

Released
2025-11-01
Last refreshed
2026-07-10
Status
Researched 61d ago
Open weightsCommercial use: conditionalAgentsClassificationJSON / Tool use

LFM2-24B-A2B is worth evaluating for agents, classification, and json / tool use when its provider route and context window match the workload.

Use it for

  • Teams evaluating agents, classification, and json / tool use
  • Workloads that can use a 32k context window
  • Buyers comparing 1 tracked provider route

Do not use it for

  • Vision or document-understanding workloads
Specifications
Family
LFM-2
Released
2025-11-01
Context
32k
Parameters
24B
Architecture
Mixture of Experts
Specialization
general
Openness
Open weights
License
LFM Open License v1.0Commercial use: conditional
Weights
Available
Code
Unknown
Training
Pretrained
Created by

Adaptive and efficient AI models

Cambridge, MA, United States
Founded 2023
Website
Pricing
Output / 1M
$0.120
Input / 1M
$0.030

Cheapest of 1 route · OpenRouter

About

LFM2-24B-A2B is the largest model in LiquidAI's LFM-2 hybrid-architecture family, designed for efficient on-device deployment with 24B total parameters and 2B active per token.

Top use-case fit: coding, agents, and build tasks

Agents

Included by capability and metadata signals in the decision map.

Classification

Included by capability and metadata signals in the decision map.

JSON / Tool use

Included by capability and metadata signals in the decision map.

Provider price ladder

Compare API pricing across 1 providers for input and output tokens, batch, and cached reads when available.

ProviderInput / 1MOutput / 1MRoute
OpenRouter$0.030$0.120
Serverless

Capabilities

JSON / Tool useStructured Outputs

Benchmark peer barsfor Agents

No task-mapped benchmark peers are available for this model yet.

Migration checks

No linked migration route is available for this model yet.