Compact · framework

Use Gemini 2.5 Flash Lite with LlamaIndex

Updated 2026-05-21 · By XALEN

How to use Gemini 2.5 Flash Lite (Compact, ~50B) with LlamaIndex. Install, authenticate, and make your first API call in minutes. Working code example included.

Model

Gemini 2.5 Flash Lite

~50B · 1M context · $0.008 input

Framework

LlamaIndex

framework · pip install llama-index-llms-openai-like

1. Install

pip install llama-index-llms-openai-like

2. Code

from llama_index.llms.openai_like import OpenAILike

llm = OpenAILike(
    model="gemini-2-5-flash-lite",
    api_key="xln_test_YOUR_KEY",
    api_base="https://api.xalen.io/v1"
)

response = llm.complete("Explain Gemini 2.5 Flash Lite")
print(response.text)

Gemini 2.5 Flash Lite with Other Frameworks

Python JavaScript React Next.js Flask FastAPI Django Express.js

Other Models with LlamaIndex

Vedika Standard Vedika Fast Vedika Pro Ultra Vedika Vision Vedika Code Vedika Astro Agent

200+ models. One API. Works with any framework.

Get API Key

Last updated: 2026-05-21