Gemini 3.5 Flash | Google Efficient LLM API

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

Использование API

Используйте следующие примеры кода для интеграции с нашим 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

Описание модели

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.

Часто задаваемые вопросы о Gemini 3.5 Flash

Сколько стоит Gemini 3.5 Flash через API?+

Цены на WaveSpeedAI: $1.50 за миллион входных токенов и $9.00 за миллион выходных токенов. Prompt caching и batch processing тарифицируются отдельно и снижают эффективную стоимость длинных повторяющихся нагрузок.

Каково контекстное окно Gemini 3.5 Flash?+

Gemini 3.5 Flash поддерживает до 1049K токенов контекста и до 66K токенов вывода на запрос.

Совместим ли Gemini 3.5 Flash с OpenAI?+

WaveSpeedAI предоставляет Gemini 3.5 Flash по адресу https://llm.wavespeed.ai/v1 через интерфейс Chat Completions, совместимый с OpenAI. В большинстве клиентов OpenAI SDK достаточно изменить base URL и API-ключ; необязательные поля зависят от модели.

Как начать работу с Gemini 3.5 Flash?+

Войдите в WaveSpeedAI, создайте API-ключ в Access Keys и отправьте запрос на https://llm.wavespeed.ai/v1/chat/completions с указанным выше model id. Актуальные доступность, возможности и цены смотрите в каталоге моделей.

Цены

Попробовать модель