Gemini 2.5 Flash

A fast, cost-efficient multimodal model optimized for everyday tasks with strong speed, long context, and native audio capabilities.

Model Details

Provider

Google

Model Type

text

Context Window

1,000,000 tokens

Pricing

Input (1M)$0.30
Output (1M)$2.50

Capabilities

1. Highly cost-efficient for large-scale workloads

  • Extremely low input cost ($0.30/M) and affordable output cost.
  • Built for production environments where throughput and budget matter.
  • Significantly cheaper than competitors like o4-mini, Claude Sonnet, and Grok on text workloads.

2. Fast performance optimized for everyday tasks

  • Ideal for summarization, chat, extraction, classification, captioning, and lightweight reasoning.
  • Designed as a high-speed “workhorse model” for apps that require low latency.

3. Built-in “thinking budget” control

  • Adjustable reasoning depth lets developers trade off latency vs. accuracy.
  • Enables dynamic cost management for large agent systems.

4. Native multimodality across all major formats

  • Inputs: text, images, video, audio, PDFs.
  • Outputs: text + native audio synthesis (24 languages with the same voice).
  • Great for conversational agents, voice interfaces, multimodal analysis, and captioning.

5. Industry-leading long context window

  • 1,000,000 token context window.
  • Supports long documents, multi-file processing, large datasets, and long multimedia sequences.
  • Stronger MRCR long-context performance vs previous Flash models.

6. Native audio generation and multilingual conversation

  • High-quality, expressive audio output with natural prosody.
  • Style control for tones, accents, and emotional delivery.
  • Noise-aware speech understanding for real-world conditions.

7. Strong benchmark performance for its cost

  • 11% on Humanity’s Last Exam (no tools) — competitive with Grok and Claude.
  • 82.8% on GPQA diamond (science reasoning).
  • 72.0% on AIME 2025 single-attempt math.
  • Excellent multimodal reasoning (79.7% on MMMU).
  • Leading long-context performance in its price tier.

8. Capable coding assistance

  • 63.9% on LiveCodeBench (single attempt).
  • 61.9%/56.7% on Aider Polyglot (whole/diff).
  • Agentic coding support + tool use + function calling.

9. Fully supports tool integration

  • Function calling.
  • Structured outputs.
  • Search-as-a-tool.
  • Code execution (via Google Antigravity / Gemini API environments).

10. Production-ready availability

  • Available in: Gemini App, Google AI Studio, Gemini API, Vertex AI, Live API.
  • General availability (GA) with stable endpoints and documentation.

Turn your AI ideas into tools that are powered by Gemini 2.5 Flash

Appaca is a complete platform for building AI agents, automations, and customer-facing interfaces for Gemini 2.5 Flash apps. No coding required.

Customer-facing Interface

Customer-facing Interface

Create and style user interfaces for your AI agents and tools easily according to your brand.

Multimodel LLMs

Multimodel LLMs

Create, manage, and deploy custom AI models for text, image, and audio - trained on your own knowledge base.

Agentic workflows and integrations

Agentic workflows and integrations

Create a workflow for your AI agents and tools to perform tasks and integrations with third-party services.

Trusted by incredible people at

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All you need to launch and sell your Gemini 2.5 Flash powered AI tools

Appaca provides out-of-the-box solutions your AI apps need.

Monetize your AI

Sell your AI agents and tools as a complete product with subscription and AI credits billing. Generate revenue for your busienss.

Monetize your AI
Edubuddy

“I've built with various AI tools and have found Appaca to be the most efficient and user-friendly solution.”

Chey

Cheyanne Carter

Founder & CEO, Edubuddy

Frequently Asked Questions

We are here to help!

What is Appaca?
Appaca is a no-code platform for creating end-user AI agents and tools that you can monetize. It allows you to deliver AI solutions to your customers faster without requiring developer help.
What are AI Credits?
AI credits are the currency to bill AI usage. Appaca uses that AI credit for the usage of different large language models (LLMs). You can use any LLM from different providers. For the cost of AI credit for different AI models, please see our pricing page.
Can I make money with the app I built on Appaca?
Yes, you can monetize your AI app easily. All you need to do is to enable monetization in your app with one click. You will be prompted to set up Stripe account easily. Once you have enabled your monetization, you can create subscription plans for your app. For the usage of AI, our AI credit system allows you to bill your customers. You can simply set how much credit you want to charge for your customers. It all comes out of the box.
Can I get more credits?
Absolutely. You can top up AI credits as much as you want if your credits are low.
Can I connect my custom domain to my app?
Yes, you can use your own custom domain name as long as you are on any paid plan.
Are there integrations?
Yes. You can integrate with other third-party tools via API or Webhook in your action workflows builder. We are frequently shipping native integration as well.
How do I use Gemini 2.5 Flash for Appaca app?
You can select Gemini 2.5 Flash when you are creating a custom AI model. If you could not find the right model, you can always contact our support team to get help.
Does it cost to use Gemini 2.5 Flash for Appaca app?
Yes, it cost AI credits to use Gemini 2.5 Flash for Appaca app. We do not charge for model specifically. We charge based on the type of AI model, for example: text, image, voice, etc. For the cost of AI credit for different AI models, please see our pricing page.
Do I need an API key to use Gemini 2.5 Flash on Appaca?
No, you don't need an API key to use Gemini 2.5 Flash on Appaca. Appaca provides an easy, one-click solution for you to use Gemini 2.5 Flash for your app.