Google

Gemini 3.7 Flash

Gemini 3.7 Flash is Google's fast, low-cost model for high-volume work. It reads images, understands video and reasons step by step before it answers. It takes up to 1.05M tokens of context and writes up to 65.54K per response.

Vision inputVideo inputReasoningStreaming

Get an API key Compare models

Output price

$2.3625

USD / 1M tokens

37% below list price

Add $5, get $5 more on your first top-up.

Same Gemini 3.7 Flash. 37% less.

Price

USD / 1M tokens, next to Google's list price.

Tokens	List price	PromptsForLess
Input	$0.75	$0.4725
Output	$3.75	$2.3625

Your monthly bill

Enter your monthly usage to see the difference.

At list price$15

With PromptsForLess$9.45

That's $5.55 saved every month.

USD, before tax and prompt caching.

Specs.

Model ID: gemini-3.7-flash
Made by: Google
Context window: 1.05M tokens
Max output: 65.54K tokens
Endpoint: /v1/chat/completions
Billing: Per token, from one balance

Built for

Text and code. Drafting, summarising, extraction, chat and code, with the output streamed back as it is generated.
Reasoning. Works through multi-step problems before answering, for planning, analysis and agent workflows.
Vision. Send screenshots, photos, charts and documents alongside your prompt.
Video. Pass video in and ask questions about what happens in it.

Edge gateways

Requests enter at the gateway nearest your app and go straight to the model, so routing adds very little to each call.

One key, every model

Switch models by changing a string. One prepaid balance covers all of them, billed per token.

Nothing stored

We keep token counts for billing, never your prompts or responses.

Call Gemini 3.7 Flash in a minute.

Point any OpenAI-compatible client at our base URL, keep your key in an environment variable, and use the model ID gemini-3.7-flash.

import os
from openai import OpenAI

client = OpenAI(
    base_url="https://api.promptsforless.com/v1",
    api_key=os.environ["PFL_API_KEY"],
)

response = client.chat.completions.create(
    model="gemini-3.7-flash",
    messages=[{"role": "user", "content": "Hello!"}],
)
print(response.choices[0].message.content)

Cursor guide

OpenCode guide

OpenAI SDK guide

More from Google.

1M context

Gemini 3.6 Flash

$2.475 / 1M tokens output

34% below list

1.05M context

Gemini 3.8 Flash

$2.2875 / 1M tokens output

39% below list

1.05M context

Gemini 3.1 Flash Lite

$0.93 / 1M tokens output

38% below list

262.14K context

Gemma 4 31B IT

$0.336 / 1M tokens output

16% below list

Similar price, other makers

Z.ai

GLM-5.3

$2.332 / 1M tokens output

47% below list

DeepSeek

DeepSeek V4 Pro

$2.4552 / 1M tokens output

38% below list

Z.ai

GLM-5.2

$2.20 / 1M tokens output

50% below list

Z.ai

GLM-5.1

$2.20 / 1M tokens output

50% below list

Questions.

How much does Gemini 3.7 Flash cost?

$2.3625 / 1M tokens output and $0.4725 / 1M tokens input, 37% below Google's list price. You pay per token from a prepaid balance, with no subscription or minimum. We match your first $5 top-up, so you start with $10 of credit.

Is it the real Gemini 3.7 Flash?

Yes. Your requests run on Google's Gemini 3.7 Flash, not a distilled copy or a substitute. The discount comes from how we buy capacity, not from changing the model.

Which tools can use Gemini 3.7 Flash?

Anything that speaks the OpenAI API: set the base URL to our endpoint and use the model ID gemini-3.7-flash. We have setup guides for Cursor, Codex, OpenCode, the OpenAI and Vercel AI SDKs, LangChain and more.

How fast is it?

Requests go through our edge gateways, so the network hop adds very little on top of Gemini 3.7 Flash's own generation time. Responses stream back token by token.