Mafdet AI Help Center中文

Gemini 3 Flash-Lite (Trial)

Model details

Model IDgemini-3-flash-lite
Providergoogle
Context length1,048,576 tokens
Capabilitieschat, vision
Access tierFREE
Free trialYes
EndpointPOST /v1/chat/completions
InputTEXT, IMAGE, AUDIO, PDF, VIDEO
OutputTEXT
PriceFree trial (no charge)
Billed onTEXT_INPUT_TOKEN, TEXT_OUTPUT_TOKEN

Examples

curl

curl https://api.mafdet.ai/v1/chat/completions \
  -H "Authorization: Bearer sk-mafdet-xxxxxxxxxxxxxxxx" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "gemini-3-flash-lite",
    "messages": [{ "role": "user", "content": "Hello" }]
  }'

Node.js

const res = await fetch("https://api.mafdet.ai/v1/chat/completions", {
  method: "POST",
  headers: {
    Authorization: `Bearer ${process.env.MAFDET_API_KEY}`,
    "Content-Type": "application/json",
  },
  body: JSON.stringify({
    model: "gemini-3-flash-lite",
    messages: [{ role: "user", content: "Hello" }],
  }),
});
const data = await res.json();
console.log(data.choices[0].message.content);

Python

from openai import OpenAI

client = OpenAI(
    base_url="https://api.mafdet.ai/v1",
    api_key="sk-mafdet-xxxxxxxxxxxxxxxx",
)
resp = client.chat.completions.create(
    model="gemini-3-flash-lite",
    messages=[{"role": "user", "content": "Hello"}],
)
print(resp.choices[0].message.content)

Common errors

See full errors & troubleshooting →