liquid/lfm2-24b-a2bOpen WeightsEfficient open Liquid MoE instruct model for on-device chat and tool calling
Benchmark Pricing$0.03 / 1M in$0.12 / 1M out$0.03 cache read
Context: 32,768 tokens•Max Output: 32,768 tokens•Released: 2026-02-24
TECHNICAL SPECIFICATIONS
Context Window32,76832.8K tokens
Max Output32,76832.8K tokens
LicenseLFM Open License v1.0Self-hostable
Input Modalities
Text
Function / Tool CallingSupported (MCP Ready)
Structured OutputsGuaranteed Schema
MODEL CONTEXT PROTOCOL (MCP) READINESS
✓ LFM2 24B A2B natively supports OpenAI / Anthropic format tool calling and is fully compatible with MCP servers and agent loops.
MCP Context Window Recommendations
With a context capacity of 32,768 tokens, this model can handle compact tool sets. Consider keeping MCP server tool manifests minimal to preserve headroom.
API CALL INVOCATION EXAMPLE
// Example: Calling LFM2 24B A2B via OpenAI SDK
import OpenAI from "openai";
const client = new OpenAI({
apiKey: process.env.LIQUID_API_KEY,
});
const response = await client.chat.completions.create({
model: "liquid/lfm2-24b-a2b",
messages: [{ role: "user", content: "Hello! Can you inspect MCP tools?" }],
});
console.log(response.choices[0].message.content);PRICING BY PROVIDER
PioneerLiquidAI/LFM2-24B-A2B
$0.03 / $0.12$0.03 cache
Rates in USD per 1M tokens. Rates synchronized from models.dev public catalog.
Prompt Caching Active
This model supports prompt caching at $0.03 / 1M tokens, saving up to 0% on repetitive MCP tool definitions and system instructions.
MODEL RESOURCES
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