What is Google Gemini 2.5 Flash (1M)?
Google Gemini 2.5 Flash (1M) is Google's best model for price and performance as of May 2025. It features hybrid reasoning capabilities and supports multimodal inputs. It was released in 2025-05 and has a context window of 1M tokens. Its key features include: Hybrid reasoning with configurable thinking budget, Multimodal (text, code, image, audio, video), 1M token context window (1,048,576 input, 65,535 output), Cost-efficient with strong performance, Grounding with Google Search, Code execution, Function calling. It is designed for use cases such as: Versatile tasks balancing cost and performance, Multimodal applications, Complex reasoning with thinking mode, High-volume, low-latency tasks with thinking off.
What are the typical use cases for Google Gemini 2.5 Flash (1M)?
Google Gemini 2.5 Flash (1M) is well-suited for tasks like: Versatile tasks balancing cost and performance, Multimodal applications, Complex reasoning with thinking mode, High-volume, low-latency tasks with thinking off.
What is the context window size for Google Gemini 2.5 Flash (1M)?
The context window for Google Gemini 2.5 Flash (1M) is 1M tokens, with 1,048,576 input tokens and 65,535 output tokens.
How much does Gemini 2.5 Flash cost?
Google Gemini 2.5 Flash costs $0.15 per million input tokens and $0.60 per million output tokens. For thinking mode output, it costs $3.50 per million tokens. Audio input costs $1.00 per million tokens.
What is hybrid reasoning in Gemini 2.5 Flash?
Hybrid reasoning in Gemini 2.5 Flash allows you to configure a thinking budget - you can enable or disable the thinking mode depending on your needs. With thinking mode on, it provides more detailed reasoning but costs more. With thinking mode off, it's faster and more cost-effective for simpler tasks.
What multimodal capabilities does Gemini 2.5 Flash have?
Gemini 2.5 Flash supports multimodal inputs including text, code, images, audio, and video. This makes it versatile for applications requiring understanding of different media types, from document analysis to video content understanding.
How does Gemini 2.5 Flash compare to 2.5 Pro?
Gemini 2.5 Flash is positioned as Google's best model for price and performance, being more cost-effective than 2.5 Pro while still offering strong capabilities. Flash is better for high-volume applications and when cost efficiency is important, while Pro is better for the most complex reasoning tasks.
Can Gemini 2.5 Flash execute code and access Google Search?
Yes, Gemini 2.5 Flash features both code execution capabilities and grounding with Google Search, allowing it to run code and access up-to-date information from the web.
What makes Gemini 2.5 Flash special for audio processing?
Gemini 2.5 Flash has dedicated audio input pricing ($1.00 per million tokens), indicating specialized audio processing capabilities as part of its multimodal features.
How can I access Google Gemini 2.5 Flash (1M)?
Information on accessing Google Gemini 2.5 Flash (1M) can typically be found on the provider's website: https://cloud.google.com/vertex-ai/generative-ai/docs/models/gemini/2-5-flash
What is the training data cutoff for Gemini 2.5 Flash?
The training data cutoff for Google Gemini 2.5 Flash is January 2025.