It’s time for developers to have fun with Gemini 2.5 Flash

2daystream


Summary: Google has finally released the Gemini 2.5 flash for developers. Because of this, they can customize many aspects of the model to suit their requirements.

Openai is not the only company that is releasing the new AI model. Meta only announced its new Lama 4 models, and Google is introducing us to some new models. We are officially in Gemini 2.5 ERA, and this means that we are going to see some very powerful AI devices coming from the company.

Customers are capable of using Gemini 2.5 flash for some time. In fact, if you are a student, you can access it through a free Gemini advance plan. Well, now the time has come for the developers to have fun.

Gemini releases 2.5 flash for Google Developers

A handful of models are available for free users. These are the experimental versions of Gemini 2.0 flash and 2.5 flash and 2.5 Pro. However, if you want to use the most stable version of Gemini 2.5 flash, you will need a Gemini advance subscription. It is the most capable model that provides Google to the public.

Users using Gemini 2.5 flash directly from Google are limited to Google's own settings. However, if you are a developer, you will be able to use the model and make some changes in some aspects. In this way, you can tailor experience for the experience of your choice.

Gemini 2.5 flash is a powerful logic model, and means that it will “think” to come up with its reactions. However, if you want to use the model in your own applications, but you don't want to think it, you can disable it. If you do not want to get rid of thinking completely, you can also set “Thinking Budget”. The thinking budget will determine how many thinking tokens the model will use.

Thinking budget optimization can help you land at an optimal cost to use models. Talking about the cost, the input cost of Gemini 2.5 flash is $ 0.15/million tokens and output costs $ 0.60/million tokens. The cost of logic is $ 3.50. It is 50% more expensive than Gemini 2.0 flash ($ 0.10/million tokens and $ 0.40/million tokens).



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