How much does Gemini 2.0 Flash cost?

Gemini 2.0 Flash is billed pay-as-you-go at $0.13 per 1M input tokens and $0.52 per 1M output tokens. There is no subscription — you only pay for what you use.

What is the context window of Gemini 2.0 Flash?

Gemini 2.0 Flash supports a context window of up to 1M tokens. It can return up to 8K tokens in a single response.

What can Gemini 2.0 Flash do?

Gemini 2.0 Flash supports Vision, Tool calling, Documents, Prompt caching.

Is Gemini 2.0 Flash free to use?

Gemini 2.0 Flash is a paid, pay-as-you-go model — no subscription, you are only charged for usage.

How do I use Gemini 2.0 Flash via the API?

Gemini 2.0 Flash is OpenAI-compatible. Point any OpenAI SDK at https://api.airforce/v1 and pass the model ID gemini-2.0-flash with your Api.Airforce API key.

Who makes Gemini 2.0 Flash?

Gemini 2.0 Flash is Google's chat model, served through the unified Api.Airforce gateway alongside 100+ other models.

GooglePaidOperational

Gemini 2.0 Flash

API model name: gemini-2.0-flash

Gemini 2.0 Flash is Google's chat model, served on the Api.Airforce unified API. It has a 1M-token context window. Beyond text, it accepts image, audio, video, document as input. Capabilities include Vision, Tool calling, Documents, Prompt caching. It is priced at $0.13 per million input tokens and $0.52 per million output tokens. Knowledge cutoff: 2024-08. Access it through the OpenAI-compatible API with one key, alongside 100+ other models on Api.Airforce.

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Pricing

Input / 1M tokens

$0.13

Output / 1M tokens

$0.52

Cache read / 1M tokens

$0.04

Specifications

Provider: Google
Type: chat model
Context window: 1M tokens
Max output: 8K tokens
Knowledge cutoff: 2024-08
Input: text, image, audio, video, document
Output: text
Prompt caching: Supported

Capabilities

VisionTool callingDocumentsPrompt cachingStreaming

What is Gemini 2.0 Flash used for?

Chatbots & assistants — conversational AI, drafting, summarizing and Q&A.
Image understanding — analyze photos, screenshots, charts and scanned documents.
Agents & automation — function calling and tool use for multi-step workflows.
Document analysis — summarize and answer questions across long files.
Long-context tasks — process entire documents or codebases in a single prompt.
Real-time experiences — stream tokens for responsive chat and apps.

Gemini 2.0 Flash vs. similar models

Model	Intelligence	Context	Input / 1M	Output / 1M
Gemini 2.0 Flash	—	1M	$0.13	$0.52
[SP]gemini 2.5 Pro	—	—	$3.97	$0.02
[SP]gemini 3.1 Pro Preview	—	—	$3.97	$0.02
[SP]gemini 3.5 Flash	—	—	$13.27	$0.02

Prices are Api.Airforce pay-as-you-go rates per 1M tokens. Context is the maximum input length.

Gemini 2.0 Flash — frequently asked questions

How much does Gemini 2.0 Flash cost?: Gemini 2.0 Flash is billed pay-as-you-go at $0.13 per 1M input tokens and $0.52 per 1M output tokens. There is no subscription — you only pay for what you use.
What is the context window of Gemini 2.0 Flash?: Gemini 2.0 Flash supports a context window of up to 1M tokens. It can return up to 8K tokens in a single response.
What can Gemini 2.0 Flash do?: Gemini 2.0 Flash supports Vision, Tool calling, Documents, Prompt caching.
Is Gemini 2.0 Flash free to use?: Gemini 2.0 Flash is a paid, pay-as-you-go model — no subscription, you are only charged for usage.
How do I use Gemini 2.0 Flash via the API?: Gemini 2.0 Flash is OpenAI-compatible. Point any OpenAI SDK at https://api.airforce/v1 and pass the model ID gemini-2.0-flash with your Api.Airforce API key.
Who makes Gemini 2.0 Flash?: Gemini 2.0 Flash is Google's chat model, served through the unified Api.Airforce gateway alongside 100+ other models.

All models·Quickstart·Chat API reference

Use Gemini 2.0 Flash via the API

OpenAI-compatible — point any OpenAI SDK at https://api.airforce/v1 and pass gemini-2.0-flash as the model.

cURL

curl https://api.airforce/v1/chat/completions \
  -H "Authorization: Bearer $AIRFORCE_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "gemini-2.0-flash",
    "messages": [{ "role": "user", "content": "Hello!" }]
  }'

Python

from openai import OpenAI
client = OpenAI(base_url="https://api.airforce/v1", api_key="$AIRFORCE_API_KEY")
r = client.chat.completions.create(
    model="gemini-2.0-flash",
    messages=[{"role": "user", "content": "Hello!"}],
)
print(r.choices[0].message.content)

JavaScript

import OpenAI from "openai";
const client = new OpenAI({ baseURL: "https://api.airforce/v1", apiKey: process.env.AIRFORCE_API_KEY });
const r = await client.chat.completions.create({
  model: "gemini-2.0-flash",
  messages: [{ role: "user", content: "Hello!" }],
});
console.log(r.choices[0].message.content);