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    3. >Google introduces new class of cheap AI models as cost concerns intensify
    Headlines

    Google Introduces New Class of Cheap AI Models as Cost Concerns Intensify

    Published by Global Banking & Finance Review®

    Posted on February 5, 2025

    2 min read

    Last updated: January 26, 2026

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    The image depicts Google's announcement of new affordable AI models, including Gemini 2.0 Flash and Flash-Lite. This development addresses rising cost concerns in the AI industry.
    Google's new affordable AI models launch announcement - Global Banking & Finance Review
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    Tags:innovationtechnologyfinancial marketscryptocurrency

    Quick Summary

    Google updates its Gemini AI models with new cost-effective options, including the Flash-Lite model, amid rising cost concerns in the AI industry.

    Google Unveils Affordable AI Models Amid Rising Cost Concerns

    By Kenrick Cai

    SAN FRANCISCO - Alphabet's Google on Wednesday announced updates to its Gemini family of large language models, including a new product line with competitive pricing to low-cost artificial intelligence models like that of Chinese rival DeepSeek.

    The tech giant offers several versions of Gemini that vary in price and performance. It already offered a lightweight variant known as "Flash" but its new "Flash-Lite" model is even cheaper.

    On Wednesday, Google released Gemini 2.0 Flash to the general public after previewing it to developers in December. It also launched Flash-Lite and released a new version of its flagship "Pro" model into test phases.

    Google created Flash-Lite after receiving positive feedback about the 1.5 version of Flash, Koray Kavukcuoglu, chief technology officer of Google's DeepMind AI lab, said in a press release. Gemini 2.0 Flash is costlier than its predecessor.

    The cost to develop AI models and, in turn, the cost to use them have come under investor scrutiny in recent weeks after DeepSeek revealed it spent less than $6 million on the final training run of a model. Developers at leading U.S. AI firms said the total cost was likely magnitudes larger.

    Still, DeepSeek's rise drew questions on the earnings calls of Alphabet and rivals Microsoft and Meta. All have so far signaled intent to continue massive capital expenditures in the field.

    Alphabet shares slumped Tuesday in part due to investor pessimism around a planned capex hike that was 29% higher than Wall Street expected.

    Certain inputs on Gemini Flash-Lite cost $0.019 per 1 million tokens, a term for the units of data processed by an AI model. That compares to $0.075 on the cost-efficient version of OpenAI's flagship model and $0.014 on DeepSeek's cheap model, though DeepSeek states on its website that the pricing will increase fivefold on Feb. 8.

    (Reporting by Kenrick Cai in San Francisco; Editing by Christopher Cushing)

    Key Takeaways

    • •Google updates its Gemini AI models with new cost-effective options.
    • •The new Flash-Lite model is cheaper than previous versions.
    • •AI development costs are under scrutiny from investors.
    • •DeepSeek's low-cost model raises industry-wide questions.
    • •Alphabet plans significant capital expenditures in AI.

    Frequently Asked Questions about Google introduces new class of cheap AI models as cost concerns intensify

    1What new models did Google introduce?

    Google announced updates to its Gemini family of large language models, including the new 'Flash-Lite' model and the release of Gemini 2.0 Flash.

    2How does the cost of Gemini Flash-Lite compare to OpenAI's models?

    Certain inputs on Gemini Flash-Lite cost $0.019 per 1 million tokens, compared to $0.075 for the cost-efficient version of OpenAI's flagship model.

    3What prompted Google to create the Flash-Lite model?

    Google created Flash-Lite after receiving positive feedback about the 1.5 version of Flash, according to Koray Kavukcuoglu, chief technology officer of Google's DeepMind AI lab.

    4What concerns have investors raised regarding AI model costs?

    Investors have scrutinized the costs to develop and use AI models, particularly after DeepSeek revealed it spent less than $6 million on its final training run.

    5What was the market reaction to Alphabet's planned capital expenditures?

    Alphabet shares slumped due to investor pessimism around a planned capital expenditure hike that was 29% higher than Wall Street expected.

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