Gemini 3.7 Flash | Google Efficient LLM API

Name: Gemini 3.7 Flash API
Brand: google
Price: 1.5 USD
Availability: InStock

API Usage

Use the following code examples to integrate with our API:

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-3.7-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-3.7-flash',
    messages: [{ role: 'user', content: 'Hello!' }],
  });
  console.log(response.choices[0]?.message?.content ?? '');
} catch (error) {
  console.error('LLM request failed:', error);
  process.exitCode = 1;
}

Model Introduction

Google: Gemini 3.7 Flash

Gemini 3.7 Flash is a multimodal model from Google for fast agentic workflows, coding, and complex multi-step reasoning. It is designed for tasks that require responsive performance and reliable multi-step...

This model is imported from OpenRouter metadata and exposed through the WaveSpeed AI OpenAI-compatible API for chat completions and compatible application workflows.

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 $0.75/$3.75 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
Reasoning controls available through supported OpenRouter parameters

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, reasoning_effort, 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
OpenRouter Created	August 14, 2026

Pricing

Token Type	Cost
Input	$0.75 per million tokens
Output	$3.75 per million tokens
Cached Input	$0.075 per million tokens
Cache Write (5m)	$0.041667 per million tokens
Reasoning Output	$3.75 per million tokens
Audio Input	$0.75 per million tokens
Web Search	$28000 per million tokens

Note: Pricing is generated from OpenRouter model metadata. If multiple upstream providers expose different endpoint prices, review and adjust the price before publishing.

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-3.7-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-3.7-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-3.7-flash",
    "messages": [{"role": "user", "content": "Hello!"}]
  }'

Notes

Model: google/gemini-3.7-flash
Provider: google
Endpoint availability and provider-specific routing may change on OpenRouter

Sources: OpenRouter model metadata.

Frequently Asked Questions about Gemini 3.7 Flash

How much does Gemini 3.7 Flash cost via the API?+

Pricing on WaveSpeedAI: $1.50 per million input tokens and $7.50 per million output tokens. Prompt caching and batch processing are billed separately and reduce effective cost on long, repetitive workloads.

What is the context window of Gemini 3.7 Flash?+

Gemini 3.7 Flash supports up to 1049K tokens of context with up to 66K tokens of output per request.

Is Gemini 3.7 Flash OpenAI-compatible?+

WaveSpeedAI exposes Gemini 3.7 Flash at https://llm.wavespeed.ai/v1 through the OpenAI-compatible Chat Completions interface. Most OpenAI SDK clients work by changing the base URL and API key; optional fields depend on the selected model.

How do I get started with Gemini 3.7 Flash?+

Sign in to WaveSpeedAI, create an API key in Access Keys, then send a request to https://llm.wavespeed.ai/v1/chat/completions with the model id shown above. Check the current model catalog for availability, capabilities, and pricing.

Pricing

Try the model

API Usage

Model Introduction

Google: Gemini 3.7 Flash

Why It Looks Great

Key Features

Specifications

Pricing

How to Use

API Integration

API Usage

Python SDK

cURL

Notes

Info

Supported Functionality

API Access Guide

Gemini 3.7 Flash API

Try Gemini 3.7 Flash on WaveSpeedAI

Frequently Asked Questions about Gemini 3.7 Flash

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