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LiquidAIAvailable

LFM2.5-24B-A2B

LFM2.5-24B-A2B is a mixture-of-experts reasoning model from Liquid AI with 24B total and 2.45B active parameters. It always reasons before answering and is built for agents that call tools.

Try in ewpireliquid/lfm-2.5-24b-a2b

Opens in the ewpire workspace. Creating an account is free; runs are paid from your credits.

LFM2.5-24B-A2B in plain words

LFM2.5-24B-A2B is a text model from LiquidAI. It takes text as input and returns text. Its context window is 128,000 tokens. It costs 0.062059 credits per 1M input tokens and 0.868824 credits per 1M output tokens.

It is good at reasoning through multi-step problems and calling tools. It does not read images. A context window of 128,000 tokens holds about 510,000 characters of English text, at 4 characters a token.

For example, a question of 2,000 tokens (about 8,000 characters) with an answer of 1,000 tokens (about 4,000 characters) costs 0.000993 credits. The exact charge follows the usage the model reports for your request.

Details

Made by
LiquidAI
Good at
ReasoningTool use
Reads
Text
Produces
Text
Context window
128,000 tokens

Price

Input, per 1M tokens
0.062059 credits
Output, per 1M tokens
0.868824 credits

Charged per request from your credit balance. No subscription. See pricing

In the API – coming soon

API keys are not open yet. The docs show how to call this model with the OpenAI SDK or plain HTTP once they are. Read the docs

curl https://ewpire.com/api/v1/chat/completions \
  -H "Authorization: Bearer $EWPIRE_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"model":"liquid/lfm-2.5-24b-a2b","messages":[{"role":"user","content":"Hello!"}]}'

The docs show how to list the models the API serves, with their capabilities and prices, once API keys are open. Models in the docs

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