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deepmind.google·6d ago
AI Engineering
DeepMind Blog·Jun 17·5 min read
Gemini 2.5: Updates to our family of thinking models
TL;DR
Developers faced confusion over the pricing and capabilities of the Gemini model family. DeepMind introduced Gemini 2.5 Flash-Lite, a new reasoning model optimized for speed and cost.
✦ Why It Matters
Engineers can leverage Gemini 2.5 Flash-Lite for cost-effective, high-speed AI applications requiring reasoning capabilities.
Key Takeaways
- Explore Gemini 2.5 Flash-Lite for low-latency tasks.
- Update to stable Gemini 2.5 Pro for advanced capabilities.
- Utilize the dynamic thinking budget feature in models.
- Review new pricing structures to optimize costs.
How It Works
Gemini 2.5 models utilize a 'thinking budget' mechanism, allowing developers to specify how much reasoning the model should perform before generating responses. This feature enhances performance by balancing speed and accuracy based on task requirements.