- Enterprise Developers & API Users: Build high-throughput applications like chatbots, moderation, automated support, and RAG pipelines.
- Data & Compliance Teams: Perform fast multimodal document analysis, classification, routing, and summarization at scale.
- AI & Agent Builders: Use thinking-enabled reasoning and tool invocation for AI assistant workflows.
- Localization & Voice Platforms: Deliver rapid text-to-speech or audio-interactive services.
- SaaS & High-Volume Clients: Leverage low-latency processing for critical, large-scale tasks via APIs like Vertex AI.
How to Use Gemini 2.5 Flash?
- Access the Model: Available via Google’s Gemini API and Vertex AI in the Studio.
- Send Mixed Inputs: Input text, images, audio, or video to receive swift text-based responses.
- Manage Thinking Depth: Use “thinking budgets” to balance response quality, cost, and latency.
- Scale & Integrate: Deploy for mission-critical workflows like summarization, classification, and routing at volume.
- Monitor & Optimize: Track token usage, latency, and reasoning performance to tune cost-efficiency through caching, batching, or Flash-Lite.
- Best-in-Class Speed: Processes high throughput with a first-token latency around 0.37 seconds.
- Hybrid Reasoning: Automatically thinks before answering; developers can set reasoning budgets to optimize performance.
- Large Context Window: Supports up to 1 million tokens—suitable for massive documents or long workflows.
- Multimodal Inputs: Accepts text, images, audio, and video—fully integrated for real-time understanding.
- Strong Performance Metrics: High intelligence index (~0.809 MMLU), faster output (282 ops), and efficient cost ($0.26 per million tokens).
- Ultra-low latency—ideal for real-time systems
- Flexible, controllable reasoning with “thinking budgets”
- Scalable across multimodal enterprise use cases
- Large context for complex workflows
- Efficient price-performance compared to peers
- Developer access required—no out-of-the-box UI
- Cost can rise with frequent or deep thinking
- Multimodal complexity may need tuning for optimal latency
Free
$ 0.00
Paid
Custom
- Input price: 1) $0.30 (text / image / video) 2) $1.00 (audio)
- Context caching: 1) $0.075 (text / image / video) 2) $0.25 (audio)
- Grounding with Google Search: 1,500 RPD (free, limit shared with Flash-Lite RPD), then $35 / 1,000 requests
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Google AI Studio is a web-based development environment that allows users to explore, prototype, and build applications using Google's cutting-edge generative AI models, such as Gemini. It provides a comprehensive set of tools for interacting with AI through chat prompts, generating various media types, and fine-tuning model behaviors for specific use cases.
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Google AI Studio is a web-based development environment that allows users to explore, prototype, and build applications using Google's cutting-edge generative AI models, such as Gemini. It provides a comprehensive set of tools for interacting with AI through chat prompts, generating various media types, and fine-tuning model behaviors for specific use cases.
Editorial Note
This page was researched and written by the ATB Editorial Team. Our team researches each AI tool by reviewing its official website, testing features, exploring real use cases, and considering user feedback. Every page is fact-checked and regularly updated to ensure the information stays accurate, neutral, and useful for our readers.
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