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Liquid: LFM3 1.7B

lfm-3-1.7b

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Liquid AI's compact 1.7B-parameter text model for tool use, structured output, data extraction, and specialized agents. It reasons before answering and supports a 262,144-token context window with up to 8,192 output tokens. Pair it with retrieval for knowledge-heavy tasks; it is not recommended for complex multi-step reasoning or agentic coding.

Modalities

Text → Text

Input / output price

$0.130 / $0.325 per 1M

Context

262K · max output 8K

Capabilities

ReasoningTool callingLong contextOpen weights

Pricing

Billed per token actually used and deducted from your credits.

ItemUSD per 1M tokens
Input$0.130
Output$0.325
Cached input$0.0325

Calculator

Drag the sliders to estimate what this model will cost.

Per request
$0.00065
Per day
$0.3250
Per month (30 days)
$9.75

LFM3 1.7B: input $0.13/M · output $0.325/M · cached input $0.0325/M

Request with these settings
curl https://api.geniusrelaygpt.com/v1/chat/completions \
  -H "Authorization: Bearer $API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"model": "lfm-3-1.7b", "max_tokens": 800,
       "messages": [{"role": "user", "content": "…"}]}'

Code samples

OpenAI-compatible. Set the base URL to https://api.geniusrelaygpt.com/v1 and the model to lfm-3-1.7b.

curl https://api.geniusrelaygpt.com/v1/chat/completions \
  -H "Authorization: Bearer $API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "lfm-3-1.7b",
    "stream": true,
    "messages": [{"role": "user", "content": "Hello"}]
  }'

Use it in a client: Cursor · Cline · SillyTavern · Codex

Parameters

Common OpenAI parameters can be passed as-is.

temperaturetop_pmax_tokensstreamstoppresence_penaltyfrequency_penaltyseed

FAQ

How is LFM3 1.7B billed?
Input is $0.130 and output is $0.325 per million tokens; cached input is $0.0325. The charge for every request is listed in Usage Logs in the console.
How long is the context window?
262K tokens. In a long conversation every turn is billed for the full input, so keep the history under control.
Does it support streaming?
Yes. Add "stream": true to the request to receive server-sent events in the OpenAI format.