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LiquidAI: LFM2.5-2.6B vs Meta: Llama 4 Maverick

A side-by-side comparison of LiquidAI: LFM2.5-2.6B ($1.22 / 1M tokens) and Meta: Llama 4 Maverick ($0.66 / 1M tokens) using current USD prices and capabilities from the api14 catalog. Both run through the same OpenAI-compatible API.

Specifications

LiquidAI: LFM2.5-2.6BMeta: Llama 4 Maverick
ProviderLiquidAIMeta
Input$1.22 / 1M tokens$0.66 / 1M tokens
Output$1.75 / 1M tokens$2.28 / 1M tokens
Cache read$0.14 / 1M tokens$0.18 / 1M tokens
Context window128,000524,288
Max output8,19216,384
Inputtexttext, image
Outputtexttext
Tool calling
Structured output
Reasoning control
AddedAug 11, 2026Apr 5, 2025

Key differences

  • Meta: Llama 4 Maverick is 46% cheaper on input tokens.
  • LiquidAI: LFM2.5-2.6B is 23% cheaper on output tokens.
  • Meta: Llama 4 Maverick reads 4.1× more context (524,288 tokens).
  • Only LiquidAI: LFM2.5-2.6B supports reasoning effort control.
  • A request with 1,000 input and 500 output tokens costs $0.00210 with LiquidAI: LFM2.5-2.6B and $0.00180 with Meta: Llama 4 Maverick.

Switch with one string

Both models use the same endpoint and request shape. Change the model value from "liquid/lfm-2.5-2.6b" to "meta-llama/llama-4-maverick" and prompts, streaming and tools keep working.

LiquidAI: LFM2.5-2.6B details & playground →Meta: Llama 4 Maverick details & playground →
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": "meta-llama/llama-4-maverick",
  "messages": [
    {
      "role": "user",
      "content": "Explain vector databases in two sentences."
    }
  ]
});
console.log(result.choices[0].message.content);

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