Google · High-throughput multimodal

Gemini 3.8 Flash API

Gemini 3.8 Flash is Google’s throughput workhorse: stable long-context calls with vision and tool support at $0.0551 per million tokens — 92% below list pricing — behind the OpenLux OpenAI-compatible endpoint.

GoogleChatVisionTools-92% vs official rates

Pay-as-you-go rate

$0.0551 / 1M tokens

-92% vs official list pricing. Billed in USD, metered per request with real-time cost in the console.

Access

One OpenLux key and the OpenAI-compatible endpoint: set base_url to https://openlux.lol/v1 and pass gemini-3.8-flash as the model.

Get started

Create a key in the console, then follow the five-minute docs for streaming, tools and error codes.

What Gemini 3.8 Flash delivers

Flash is designed for volume: summarisation, extraction, translation, tagging and chat at rates that make per-request economics work. Long-context windows stay stable under high concurrency, which makes it a good default for document pipelines and batch jobs.

It accepts images as well as text, so OCR-style extraction, chart reading and multimodal classification run on the same model and endpoint as plain text — no separate vision service to wire up.

At $0.0551 per 1M tokens it is one of the most economical ways to run Gemini-class quality on OpenLux. Pair it with gemini-3-flash-preview ($0.0368) when you want to push unit costs even lower.

Call Gemini 3.8 Flash in minutes

Every OpenLux model speaks the OpenAI protocol. Reuse your existing SDKs and replace two values: the base URL and the API key.

cURL

curl https://openlux.lol/v1/chat/completions \
  -H "Authorization: Bearer $OPENLUX_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "gemini-3.8-flash",
    "messages": [{"role": "user", "content": "Extract the vendor name, total amount and due date from this invoice text."}]
  }'

Python (OpenAI SDK)

from openai import OpenAI

client = OpenAI(
    api_key="sk-openlux-...",
    base_url="https://openlux.lol/v1",
)

resp = client.chat.completions.create(
    model="gemini-3.8-flash",
    messages=[{"role": "user", "content": "Extract the vendor name, total amount and due date from this invoice text."}],
)
print(resp.choices[0].message.content)

Node.js (OpenAI SDK)

import OpenAI from "openai";

const client = new OpenAI({
  apiKey: process.env.OPENLUX_API_KEY,
  baseURL: "https://openlux.lol/v1",
});

const resp = await client.chat.completions.create({
  model: "gemini-3.8-flash",
  messages: [{ role: "user", content: "Extract the vendor name, total amount and due date from this invoice text." }],
});
console.log(resp.choices[0].message.content);

Where Gemini 3.8 Flash fits

Long-context stability

Handles long inputs reliably at high call volumes — built for document and batch workloads.

Vision input

Image understanding for extraction, chart reading and multimodal classification.

Tools and functions

Standard tool calling for pipelines that fetch data or trigger actions.

High concurrency

Engineered for throughput: batch jobs and parallel workloads scale without per-call drama.

Document processing

Extract fields from invoices, contracts and reports with text or image input, at low cost per document.

Batch enrichment

Tag, classify and enrich catalogues and datasets where per-item cost decides feasibility.

Moderation and classification

First-pass content review at the volumes real traffic produces.

How gemini-3.8-flash is priced on OpenLux

Gemini 3.8 Flash is metered pay as you go at $0.0551 / 1M tokens (-92% vs official rates). There is no subscription requirement for API access: top up a balance, call the model, and see the cost of every request in the console.

ModelProviderRateDiscount
gemini-3.8-flash (this model)Google$0.0551 / 1M tokens-92%
gemini-3-flash-previewGoogle$0.0368 / 1M tokens-92%
gemini-3.1-pro-previewGoogle$0.1471 / 1M tokens-92%
gpt-5.6-solOpenAI$0.1838 / 1M tokens-96%

Rates follow official provider pricing and are shown in USD. See the full model catalogue and pricing plans for credit allowances.

Gemini 3.8 Flash questions

How much does gemini-3.8-flash cost on OpenLux?

$0.0551 per 1 million tokens with a 92% discount on list pricing, metered pay as you go with per-request cost visible in the console.

How do I call gemini-3.8-flash?

Use any OpenAI-compatible client: base_url https://openlux.lol/v1 and "model": "gemini-3.8-flash". The same key also covers GPT, Claude, DeepSeek and Qwen models.

Gemini 3.8 Flash or Gemini 3.1 Pro?

Flash at $0.0551 is the volume choice for extraction, tagging and high-concurrency chat. Gemini 3.1 Pro preview at $0.1471 adds deep thinking modes and stronger multimodal reasoning for harder tasks.

Is Flash suitable for production?

Yes. It is a stable model (not a preview), with streaming, tools and vision on the OpenLux endpoint, plus request logs and 24/7 support for operational visibility.

Start calling Gemini 3.8 Flash today

Create an OpenLux key and send your first request in minutes. Compare Gemini 3.8 Flash with the rest of the catalogue on the same endpoint and the same bill.

Create an API key Read the docs