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Liquid: LFM2.5 24B A2B

lfm-2.5-24b-a2b

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Liquid AI's text-only mixture-of-experts model for reasoning and tool-using agents, with 24B total and 2.45B active parameters. It always thinks before answering and supports structured output. Pair it with retrieval for knowledge-heavy tasks. Open weights use the LFM Open License v1.0, with a $10M annual-revenue commercial threshold; hosted API use is subject to separate service terms that permit retention and use of prompts and responses for model training.

Modalities

Text → Text

Input / output price

$0.065 / $0.910 per 1M

Context

128K · max output 8K

Capabilities

ReasoningTool calling

Pricing

Billed per token actually used and deducted from your credits.

ItemUSD per 1M tokens
Input$0.065
Output$0.910
Cached input$0.0325

Calculator

Drag the sliders to estimate what this model will cost.

Per request
$0.00092
Per day
$0.4615
Per month (30 days)
$13.85

LFM2.5 24B A2B: input $0.065/M · output $0.91/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-2.5-24b-a2b", "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-2.5-24b-a2b.

curl https://api.geniusrelaygpt.com/v1/chat/completions \
  -H "Authorization: Bearer $API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "lfm-2.5-24b-a2b",
    "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 LFM2.5 24B A2B billed?
Input is $0.065 and output is $0.910 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?
128K 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.