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Liquid: LFM2.5 2.6B

lfm-2.5-2.6b

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Liquid AI's compact 2.6B reasoning model for agent workflows, data extraction, RAG, and long-context processing. It supports tool calling and structured output, but Liquid advises against using it for agentic coding. Warning: prompts and responses may be logged and used for model training or service improvement; do not send sensitive data.

Modalities

Text → Text

Input / output price

$0.130 / $0.260 per 1M

Context

128K · max output 33K

Capabilities

ReasoningTool callingOpen weights

Pricing

Billed per token actually used and deducted from your credits.

ItemUSD per 1M tokens
Input$0.130
Output$0.260
Cached input$0.065

Calculator

Drag the sliders to estimate what this model will cost.

Per request
$0.00060
Per day
$0.2990
Per month (30 days)
$8.97

LFM2.5 2.6B: input $0.13/M · output $0.26/M · cached input $0.065/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-2.5-2.6b", "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-2.5-2.6b.

curl https://api.geniusrelaygpt.com/v1/chat/completions \
  -H "Authorization: Bearer $API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "lfm-2.5-2.6b",
    "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 2.6B billed?
Input is $0.130 and output is $0.260 per million tokens; cached input is $0.065. 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.