The latest Gemini 2.0 AI models are officially announced by Google and are now available for free to everyone. The latest powerful Gemini 2.0 AI models include Flash, Pro experimental, and Flash Lite versions. To challenge its rivals ChatGPT and DeepSeek, these models launched with enhanced capabilities like a large context window, code execution, and cost-efficiency.
Gemini 2.0 Flash, Pro Experimental and Flash-Lite models features
Gemini 2.0 Pro Experimental:
This is the best model for coding, named the 2.0 Pro Experimental model. It has the capability to process two million tokens simultaneously along with unrivaled support for complex prompts and coding.
It is a great option for developers to create production applications.
Gemini 2.0 Flash:
Gemini 2.0 Flash is the latest addition to the Gemini AI model. It is designed to optimize for high-frequency tasks, featuring rapid processing and enhanced multimodal reasoning capabilities with the ability to handle up to one million tokens.
The developers who need an AI model for high-volume applications can opt for this.
Gemini 2.0 Flash-Lite:
Among all 2.0 AI model launches, the most cost-effective launch is Gemini 2.0 Flash-Lite, which aims at performing efficient performance without high costs. It claims superior quality of performance compared to its predecessor, Flash 1.5.
It is optimized mainly for cost and speed and it’s capability of generating captions for images is awesome.
These releases of new AI models show the strategy of Google of making AI models—systems capable of understanding complex tasks and taking action on users’ behalf.
Users can find all models on the Gemini app, as all models are now accessible through the Gemini app, Google AI Studio, and Vertex AI platforms.
New ‘thinking’ Gemini model of Google:
Along with three Gemini 2.0 models, Google has launched one more 2.0 model named the Gemini 2.0 Flash Thinking model. The model is available on Gemini app.
Google has a variant of this model that works with apps, like YouTube, Maps, and Search.
This new AI model has set a performance benchmark with a 73.3% score on the American Invitational Mathematics (AIME). It scores 74.2% on the GPQA Diamond science benchmark.
According to Jeff Dean, chief scientist at Google DeepMind, “The model shows its work by explaining its reasoning process. It includes native code execution capabilities and features improved reliability with reduced contradictions between its reasoning process and final answers.”
All new Gemini 2.0 models are incorporated with new reinforcement learning techniques that use self-critique to improve response accuracy and handle sensitive prompts more effectively.
