Gemini 3.5 Flash | Google Efficient LLM API

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

Uso de API

Usa los siguientes ejemplos de código para integrar con nuestra API:

import os
from openai import OpenAI

client = OpenAI(
    api_key=os.environ["WAVESPEED_API_KEY"],
    base_url="https://llm.wavespeed.ai/v1",
    timeout=120.0,
    max_retries=2,
)

try:
    response = client.chat.completions.create(
        model="google/gemini-3.5-flash",
        messages=[{"role": "user", "content": "Hello!"}],
    )
    print(response.choices[0].message.content or "")
except Exception as exc:
    raise SystemExit(f"LLM request failed: {exc}") from exc

Introducción del modelo

Google: Gemini 3.5 Flash

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.

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!"}]
  }'

Gemini 3.5 Flash API

google/gemini-3.5-flash

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.

Preguntas frecuentes sobre Gemini 3.5 Flash

¿Cuánto cuesta Gemini 3.5 Flash a través de la API?+

Precios en WaveSpeedAI: $1.50 por millón de tokens de entrada y $9.00 por millón de tokens de salida. El prompt caching y el procesamiento por lotes se facturan por separado y reducen el coste efectivo en cargas largas y repetitivas.

¿Cuál es la ventana de contexto de Gemini 3.5 Flash?+

Gemini 3.5 Flash admite hasta 1049K tokens de contexto y hasta 66K tokens de salida por solicitud.

¿Es Gemini 3.5 Flash compatible con OpenAI?+

WaveSpeedAI ofrece Gemini 3.5 Flash en https://llm.wavespeed.ai/v1 mediante la interfaz Chat Completions compatible con OpenAI. En la mayoría de clientes del SDK de OpenAI basta con cambiar la URL base y la clave API; los campos opcionales dependen del modelo.

¿Cómo empiezo con Gemini 3.5 Flash?+

Inicia sesión en WaveSpeedAI, crea una clave API en Access Keys y envía una solicitud a https://llm.wavespeed.ai/v1/chat/completions con el id de modelo mostrado arriba. Consulta el catálogo actual para conocer disponibilidad, capacidades y precios.

Precios

Probar el modelo