- A comparative overview of the three models
- Details of Gemini 2.5 Flash-Lite
- 4. ** Performance comparison**:
- # “Who’s the most cost-effective of the AI model”
- Application case demonstration:
- ** How to use **:
Google officially publishes Gemini 2.5 Flash and Pro models, which can now be used by any developer to construct and expand the AI applications that can be put into production.
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In parallel with the launch of the new model Gemini 2.5 ** Flash-Lite (prevary version)**: This is the fastest-response and least-cost model in the Gemini 2.5 series.
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Particularly applicable to practical applications where low-delayed and efficient responses are required.
A comparative overview of the three models
Details of Gemini 2.5 Flash-Lite
- The most cost-effective and fastest.
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Compared to the Pro model,** the reasoning is faster and less costly**.
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Lower than 2.0 Flash-Lite and 2.0 Flash ** Delay** and faster reasoning;
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The cost of each call is significantly reduced and suitable for deployment in large-scale systems or user scenarios.
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Light solutions for ** edge devices, mobile terminals, microservices**.
- Quality enhancement in basic tasks Flash-Lite overstepped the old version on several standard tests:
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** Code generation**
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Mathematic/logical reasoning
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The scientific understanding mission
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** Text/image multi-model input parsing**
The performance is more balanced and comprehensive than 2.0 Flash-Lite.
#3 3. Support Gemini 2.5 full functionality These include:
- Controllable Thinking Gemini 2.5 Flash is one of the first models to support “thinking about the budget”:
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Users can set a reasoned calculation budget (e.g. the Token number) with a flexible trade-off between response speed and accuracy.
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Models can use more forward transmission steps to improve accuracy when dealing with complex tasks (e.g. mathematical questions, code generation).
- ** Multi-module treatment** Although not pro-version, it still has the full range of original multi-model support:
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Type of input includes: text, image, audio, video.
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Capable of processing hour video content, structured images (e.g. graphs, UI interfaces) and voice.
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Support the task of extracting events, identifying scenes, generating applications or summaries from videos.
- Tool-use: for example, to call Google search, code run, etc., and have million token context window, the same level as Gemini 2.5 Flash and Pro.
4. ** Performance comparison**:
2.5 Flash-Lite is a full leader in response speed, reasoning quality compared to the old version 2.0 Flash-Lite and Flash.
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Obtaining higher scores in baseline tests such as coding, mathematics, science, reasoning and multimodules.
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Delays and costs are lower and are one of the most valuable models at present.
# “Who’s the most cost-effective of the AI model”
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The Gemini 2.5 series significantly increased the upper limit of value for money and pushed Pareto as a whole to the top right corner.
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Flash-Lite is currently one of the most cost-effective models, especially for budget-sensitive applications that still require strong modelling capacity.
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** “Thinking” + Long context + multi-model”** is fundamental to the leadership of the Google Gemini series.
♪ How do you look at this picture? ♪
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**Honger axis (up as high as possible): ** How smart and competent models are, for example, in terms of their ability to understand, write codes, watch videos, etc.
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** Transverse (advanced by right): ** How much it costs to use this AI model at a time (cost of processing 1 million words).
** Top left: Smart but expensive Top right**: Smart and cheap! The blue curve ** is: a line linked to “the world’s most cost-effective model” ** also known as “Pareto Frontier”. Gemini 2.5 Pro
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Googles now ** the strongest AI brain**, smart as a watch.
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For example, you can read three hours of video, you can write web applications, you can read Harry Potter at once.
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Weaknesses: Precious! Suitable for scientific research and heavy development.
Gemini 2.5 Flash
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Smaller models,** smarter than GPT-4o, but cheaper**.
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Balanced: fast, cheap and reflective, suitable for chat robots, customer service, search and question systems.
Gemini 2.5 Flash-Lite (new release!)
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Super-high-priced “Quick Knife Little AI”: especially low-cost, but still smart!
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For example, if you have thousands of customers who have to answer questions with AI at the same time, it’s perfect.
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It is represented by the “top right corner” in the figure:** the cheaper the right, the smarter the higher and the better the better.**
Application case demonstration:
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A research prototype: After the user uploads large PDF files, the Flash-Lite model can be converted into an interactive Web application in real time to facilitate understanding and synthesizing complex content.
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The example highlights the strong capacity of the model in dealing with complex structured information.
** How to use **:
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All 2.5 Flash and Pro models can be used on the following platforms: Google AI Studio
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Google Cloud Vertex.
Fit for rapid deployment of AI tools and services by businesses and researchers. Technical report: https://storage.googleapis.com/deepmind-media/gemini/gemini_v2_5_report.pdf