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LiquidAI: LFM2.5-2.6B
liquid/lfm-2.5-2.6bTextInput: textToolsReasoning128KAdded Aug 11, 2026
Try LiquidAI: LFM2.5-2.6B now
Runs on your balance at the prices above. New accounts start with free usage.
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Session cost $0.00
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Extra parameters (JSON)
LiquidAI: LFM2.5-2.6B at a glance
- Input price is 22% lower than the median of 433 Text models.
- Context window of 128,000 tokens, enough for long documents and multi-turn conversations.
- Supports tool (function) calling for agents and integrations.
- Supports structured JSON output with a schema.
- Supports reasoning effort control.
- A typical request (1,000 input / 500 output tokens) costs about $0.00210.
About LiquidAI: LFM2.5-2.6B
LFM2.5-2.6B is a compact reasoning model from Liquid AI. It is suited for agent workflows, data extraction, RAG, and long-context processing. Liquid advises against using it for agentic coding or...
How to call the LiquidAI: LFM2.5-2.6B API
- Create an API key in your dashboard.
- Install the official openai SDK for your language.
- Set baseURL to https://api14.com/api/v1 and model to "liquid/lfm-2.5-2.6b".
import OpenAI from "openai";
const client = new OpenAI({
baseURL: "https://api14.com/api/v1",
apiKey: process.env.API14_API_KEY,
});
const result = await client.chat.completions.create({
"model": "liquid/lfm-2.5-2.6b",
"messages": [
{
"role": "user",
"content": "Explain vector databases in two sentences."
}
]
});
console.log(result.choices[0].message.content);
Supported parameters
frequency_penaltyinclude_reasoninglogprobsmax_completion_tokensmax_tokensmin_ppresence_penaltyreasoningrepetition_penaltyresponse_formatseedstopstructured_outputstemperaturetool_choicetoolstop_ktop_logprobstop_pSpecifications
- Context length
- 128,000
- Max output
- 8,192
- Input
- text
- Output
- text
Requests on api14 · last 7 days
LiquidAI: LFM2.5-2.6B: frequently asked questions
- How much does the LiquidAI: LFM2.5-2.6B API cost?
- LiquidAI: LFM2.5-2.6B costs Input $1.22 / 1M tokens. It is charged from your USD balance only for successful requests; failed requests are free.
- What is the context window of LiquidAI: LFM2.5-2.6B?
- LiquidAI: LFM2.5-2.6B reads up to 128,000 tokens per request: prompt, history and documents together. It writes up to 8,192 output tokens per response.
- What can LiquidAI: LFM2.5-2.6B do?
- LiquidAI: LFM2.5-2.6B accepts text and returns text. It supports tool calling, structured JSON output, reasoning effort control.
- How do I call LiquidAI: LFM2.5-2.6B from my code?
- Point any OpenAI SDK at https://api14.com/api/v1 and set the model to "liquid/lfm-2.5-2.6b". No other code changes. Copy a ready example from the code panel on this page.
- What are alternatives to LiquidAI: LFM2.5-2.6B?
- Comparable Text models at a similar price: Meta: Llama 4 Maverick, DeepSeek: DeepSeek V4 Flash Vision Exp, Google: Gemini 3.1 Flash Lite (batch). Each runs through the same API key, so switching is one string.
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