Google Gemini 2.5 Flash: AI model with 'thinking budget' brings new level of control
Google introduces innovative feature in its new AI model Gemini 2.5 Flash, which allows developers to set a “thinking budget.” This allows them to better manage the cost, speed, and depth of processing of individual requests.
🧠 What is a "thinking budget"?
A new concept from Google allows developers to assign an AI system a certain amount of “brainpower” for specific tasks. In other words, instead of always using maximum capacity, the AI can operate at different levels:
- ⚡ Quick response: for simple or less important questions
- 🧮 Balanced processing: routine tasks with a slight emphasis on quality
- 🧠 Deep analysis: complex assignment, detailed outputs
This allows for better scaling while controlling costs – especially in enterprise deployments where you pay for computing power.
🚀 What else does Gemini 2.5 Flash bring?
The new model is optimized for:
- 📈 Extremely fast responses (lower latency than GPT-4o)
- 🔌 Integration into mobile devices and web applications
- 🧩 Better memory and contextual understanding than previous versions
💡 Why is this important?
Users and developers gain more control over how AI thinksThis means a better balance between price, performance and quality – which is key for companies using AI in customer service, data analysis or content generation.
Moreover, it points to a new direction: AI systems that are not just “all or nothing,” but that can be intelligently scaled as needed.
