Berapa biaya Gemini 3.5 Flash melalui API?

Harga di WaveSpeedAI: $1.50 per juta token input dan $9.00 per juta token output. Prompt caching dan batch processing ditagih terpisah dan mengurangi biaya efektif pada beban kerja yang panjang dan berulang.

Berapa context window Gemini 3.5 Flash?

Gemini 3.5 Flash mendukung hingga 1049K token konteks dengan hingga 66K token output per permintaan.

Apakah Gemini 3.5 Flash kompatibel dengan OpenAI?

WaveSpeedAI menyediakan Gemini 3.5 Flash di https://llm.wavespeed.ai/v1 melalui antarmuka Chat Completions yang kompatibel dengan OpenAI. Sebagian besar klien OpenAI SDK cukup mengganti base URL dan API key; field opsional bergantung pada model.

Bagaimana memulai dengan Gemini 3.5 Flash?

Masuk ke WaveSpeedAI, buat API key di Access Keys, lalu kirim permintaan ke https://llm.wavespeed.ai/v1/chat/completions dengan model id yang ditampilkan di atas. Lihat katalog model terbaru untuk ketersediaan, kemampuan, dan harga.

Gemini 3.5 Flash | Google Efficient LLM API

Name: Gemini 3.5 Flash API
Brand: google
Price: 1.5 USD
Availability: InStock

google/gemini-3.5-flash

Tanggal rilis: 2026-05-19

1,048,576 context · $1.50/M input tokens · $9.00/M output tokens

Gemini 3.5 Flash is Google’s high-efficiency multimodal model, delivering near-Pro-level reasoning and coding capabilities with Flash-class speed and cost efficiency. It is purpose-built for advanced coding workflows and parallel agentic execution, while supporting a wide range of input modalities including text, images, video, audio, and PDFs.

The model defaults to a medium reasoning mode to balance latency, quality, and cost, while also offering configurable thinking levels — minimal, low, medium, and high — for more precise performance and efficiency tuning across different workloads.

Harga

Bayar sesuai pemakaian

Tanpa biaya di muka, bayar hanya sesuai penggunaan

Input$1.50 / M Tokens

Output$9.00 / M Tokens

Cache Read$0.15 / M Tokens

Cache Write$0.08 / M Tokens

Coba model

google/gemini-3.5-flash

Online

Hai! Saya asisten AI yang siap membantu. Ada yang bisa saya bantu?

Siap memakai model ini di coding agent lokal?Setup agent

Penggunaan API

Gunakan contoh kode berikut untuk integrasi dengan API kami:

import OpenAI from 'openai';

if (!process.env.WAVESPEED_API_KEY) throw new Error('Set WAVESPEED_API_KEY');
const client = new OpenAI({
  apiKey: process.env.WAVESPEED_API_KEY,
  baseURL: 'https://llm.wavespeed.ai/v1',
  timeout: 120_000,
  maxRetries: 2,
});

try {
  const response = await client.chat.completions.create({
    model: 'google/gemini-3.5-flash',
    messages: [{ role: 'user', content: 'Hello!' }],
  });
  console.log(response.choices[0]?.message?.content ?? '');
} catch (error) {
  console.error('LLM request failed:', error);
  process.exitCode = 1;
}

import OpenAI from 'openai';

if (!process.env.WAVESPEED_API_KEY) throw new Error('Set WAVESPEED_API_KEY');
const client = new OpenAI({
  apiKey: process.env.WAVESPEED_API_KEY,
  baseURL: 'https://llm.wavespeed.ai/v1',
  timeout: 120_000,
  maxRetries: 2,
});

try {
  const response = await client.chat.completions.create({
    model: 'google/gemini-3.5-flash',
    messages: [{ role: 'user', content: 'Hello!' }],
  });
  console.log(response.choices[0]?.message?.content ?? '');
} catch (error) {
  console.error('LLM request failed:', error);
  process.exitCode = 1;
}

Pengenalan Model

Google: Gemini 3.5 Flash

Why It Looks Great

text+image+file+audio+video->text architecture for Text, Image, Video, file, Audio to Text workloads
1048576 context window for long prompts, document analysis, and multi-turn workflows
Competitive pricing at $1.5/$9 per million tokens
Vision input support for image understanding and multimodal tasks
Function calling and tool-use support for agentic application workflows
Structured output support for JSON responses and schema-constrained generation

Key Features

Context Window: 1048576 tokens
Max Input: 983040 tokens
Max Output: 65536 tokens
Vision: Supported
Function Calling: Supported
Structured Outputs: Supported
Image Generation: Not listed
Audio Input: Supported
Supported Parameters: include_reasoning, max_tokens, reasoning, response_format, seed, stop, structured_outputs, temperature, tool_choice, tools, top_p

Specifications

Specification	Value
Provider	google
Model Type	Chat Completions model
Architecture	text+image+file+audio+video->text
Context Window	1048576 tokens
Max Input	983040 tokens
Max Output	65536 tokens
Input	Text, Image, Video, file, Audio
Output	Text
Vision	Supported
Function Calling	Supported
Structured Outputs	Supported

How to Use

Write your prompt - describe the task, provide context, and specify the desired output format.
Submit - the model processes your request and returns the response.

API Integration

Base URL: https://llm.wavespeed.ai/v1 API Endpoint: chat/completions Model ID: google/gemini-3.5-flash

API Usage

Python SDK

from openai import OpenAI

client = OpenAI(
    api_key="YOUR_API_KEY",
    base_url="https://llm.wavespeed.ai/v1"
)

response = client.chat.completions.create(
    model="google/gemini-3.5-flash",
    messages=[{"role": "user", "content": "Hello!"}]
)

print(response.choices[0].message.content)

cURL

curl https://llm.wavespeed.ai/v1/chat/completions \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -d '{
    "model": "google/gemini-3.5-flash",
    "messages": [{"role": "user", "content": "Hello!"}]
  }'

Info

Penyediagoogle

Tipellm

Fitur yang Didukung

Input

TeksGambarAudio

Output

Teks

Konteks1,048,576

Output Maks65,536

Vision✓ Didukung

Function Calling✓ Didukung

Panduan Akses API

Base URLhttps://llm.wavespeed.ai/v1

API Endpointchat/completions

Model IDgoogle/gemini-3.5-flash