Google Language Popular

Gemini 2.0 Flash

Fast Gemini 2.0 model

1M Context window

Text + Vision Modalities

General Specialty

Yes Streaming

Get API key — free View docs →

Model ID gemini-2.0-flash /v1/chat/completions

Our pricing

Input tokens per 1M tok

$0.080

Output tokens per 1M tok

$0.320

Pay-as-you-go · No minimums · Cancel anytime

OpenAI-compatible ( api.belugapi.com/v1)

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No credit card required to test

Capabilities

What Gemini 2.0 Flash
can do for you.

Native API parity with the official provider — every feature surfaced one-to-one.

Streaming

Server-sent events out of the box

Vision

Analyze images, charts & documents

Long context

200K+ tokens of working memory

Integration

2-line migration.
Zero friction.

BelugAPI is 100 % compatible with the OpenAI SDK. Point base_url to our endpoint and you're done — no refactoring, no learning curve.

Same request & response schema

Python · Node.js · REST · Go · Ruby

Streaming, tool-calling, structured output

Automatic failover & load balancing

Python

from openai import OpenAI

client = OpenAI(
  api_key=bel-your-key,
  base_url=https://api.belugapi.com/v1
)

response = client.chat.completions.create(
  model=gemini-2.0-flash,
  messages=[{"role": user, "content": Hello!}]
)
print(response.choices[0].message.content)

Node.js

import OpenAI from openai;

const client = new OpenAI({
  apiKey:  bel-your-key,
  baseURL: https://api.belugapi.com/v1,
});

const res = await client.chat.completions.create({
  model:    gemini-2.0-flash,
  messages: [{ role: user, content: Hello! }],
});
console.log(res.choices[0].message.content);

cURL

curl https://api.belugapi.com/v1/v1/chat/completions \
  -H Authorization: Bearer bel-your-key \
  -H Content-Type: application/json \
  -d {"model":"gemini-2.0-flash","messages":[{"role":"user","content":"Hello!"}]}

Highlights

Built for production.

Fast

Multimodal

Complete guide

Everything about
Gemini 2.0 Flash.

Specifications, pricing, capabilities, and integration tips — kept up to date with every Google release.

By Google 2 min read Updated May 2026

Fast Gemini 2.0 model

Overview

Gemini 2.0 Flash is a cutting-edge large language model (llm) developed by Google, designed to push the boundaries of artificial intelligence-powered content generation.

This model excels in fast, multimodal, making it a top choice for professionals seeking high-quality, scalable AI solutions. Whether you're building production applications, researching new AI capabilities, or creating stunning visual content, Gemini 2.0 Flash delivers industry-leading performance and reliability.

Key Specifications

Specification	Details
Model Name	Gemini 2.0 Flash
Provider	Google
Category	Large Language Model (LLM)
Model Type	Chat
Context Window	1M+

Pricing

Input: $0.08/M tokens
Output: $0.32/M tokens

Key Features & Capabilities

Fast: Advanced capability for professional-grade output.
Multimodal: Advanced capability for professional-grade output.

Use Cases & Applications

Customer support chatbots
Content creation and writing assistants
Knowledge base Q&A systems
Educational tutoring platforms

Frequently asked questions

What is Gemini 2.0 Flash best used for?

Gemini 2.0 Flash excels at fast, multimodal, making it ideal for professional and enterprise applications.

Who developed Gemini 2.0 Flash?

Gemini 2.0 Flash was developed by Google, a leading AI research and development company.

How do I integrate Gemini 2.0 Flash into my application?

You can integrate Gemini 2.0 Flash via its official API endpoint using standard HTTP requests with your API key. SDKs are available for Python, JavaScript, and other languages.

What is the pricing model for Gemini 2.0 Flash?

Pricing is based on input. Check the pricing section above for detailed rates.

Ready to ship? Start using Gemini 2.0 Flash in under 30 seconds.

Get free API key