liquid
LiquidAI: LFM3-1.7B
Try in chat →A compact 1.7B-parameter text model with a 256K-token context, post-trained for agents, tool calling, and structured outputs. It reasons before it answers. Prompts and outputs may be retained and used...
Context
262k tokens
Input / 1M tokens
$0.09
Output / 1M tokens
$0.22
Benchmark
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Uptime & performance
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Pricing
Input tokens$0.09 per 1M tokens
Output tokens$0.22 per 1M tokens
Cache read$0.02 per 1M tokens
Apps and activity
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Technical details
Model IDliquid/lfm-3-1.7b
Context window262k tokens
Input modalitiestext
Output modalitiestext
TokenizerOther
Max output tokens8,192
Use with MegaBrain
import OpenAI from 'openai'
const client = new OpenAI({
baseURL: 'https://getmegabrain.com/api/gateway/v1',
apiKey: process.env.MEGABRAIN_API_KEY,
})
const response = await client.chat.completions.create({
model: 'liquid/lfm-3-1.7b',
messages: [{ role: 'user', content: 'Hello!' }],
})Ready to use LiquidAI: LFM3-1.7B?
Try it in the browser first, then get an API key and start making requests in minutes.