Dataconomy
  • News
    • Artificial Intelligence
    • Cybersecurity
    • DeFi & Blockchain
    • Finance
    • Gaming
    • Startups
    • Tech
  • Industry
  • Research
  • Resources
    • Articles
    • Guides
    • Case Studies
    • Glossary
    • Whitepapers
  • Newsletter
  • + More
    • Conversations
    • Events
    • About
      • About
      • Contact
      • Imprint
      • Legal & Privacy
      • Partner With Us
Subscribe
No Result
View All Result
  • AI
  • Tech
  • Cybersecurity
  • Finance
  • DeFi & Blockchain
  • Startups
  • Gaming
Dataconomy
  • News
    • Artificial Intelligence
    • Cybersecurity
    • DeFi & Blockchain
    • Finance
    • Gaming
    • Startups
    • Tech
  • Industry
  • Research
  • Resources
    • Articles
    • Guides
    • Case Studies
    • Glossary
    • Whitepapers
  • Newsletter
  • + More
    • Conversations
    • Events
    • About
      • About
      • Contact
      • Imprint
      • Legal & Privacy
      • Partner With Us
Subscribe
No Result
View All Result
Dataconomy
No Result
View All Result

Google’s new Gemini 2.5 Flash is proof AI doesn’t have to be slow

Flash models are smaller than their Pro counterparts, accelerating answers for simpler queries and reducing operational costs, though Google doesn't disclose specific parameter counts.

byKerem Gülen
April 10, 2025
in Artificial Intelligence, News
Home News Artificial Intelligence

Google is rolling out Gemini 2.5 Flash, a speedier, more efficient AI model announced at the Google Cloud Next conference, expanding the reach of its latest AI architecture beyond its initial experimental phase.

After Gemini 2.5 Pro turned heads last month, Google is now deploying improved AI across its ecosystem, clarifying its model lineup. Flash joins Pro, starting life on the developer-focused Vertex AI platform rather than the consumer Gemini app.

Gemini 2.5 Flash stems from the same base code as Gemini 2.5 Pro but is designed to be faster and cheaper to operate. Google gathered user interaction data from the experimental release of Pro, which helped shape the development of Flash.

Stay Ahead of the Curve!

Don't miss out on the latest insights, trends, and analysis in the world of data, technology, and startups. Subscribe to our newsletter and get exclusive content delivered straight to your inbox.

Flash models are smaller than their Pro counterparts, accelerating answers for simpler queries and reducing operational costs, though Google doesn’t disclose specific parameter counts. Both 2.5 Pro and Flash feature dynamic thinking, enabling the AI to adjust its simulated reasoning effort based on the query.

According to Ars Tecnica, the initial experimental 2.5 Pro occasionally “overthought” simple requests, states Google’s Tulsee Doshi. Gemini 2.5 Flash incorporates more advanced “dynamic and controllable reasoning” to address this, choosing a “thinking budget” relative to prompt complexity to cut down wait times and processing needs.

Developers using Vertex AI gain granular control over this thinking budget, allowing further cost reduction and speed optimization. Google also plans to add supervised tuning and context caching for Gemini 2.5 models on Vertex AI in the coming weeks.

Separately, the larger Gemini 2.5 Pro model now powers Google’s Deep Research tool, upgrading it from the previous Gemini 2.0 Pro. Deep Research uses prompts to gather internet data and synthesize detailed reports on a topic.

Google states the upgrade to Gemini 2.5 Pro has enhanced the accuracy and utility of Deep Research reports. Citing user evaluations, Google claims a greater than two-to-one preference for its reports compared to those from OpenAI’s similar tool.

While Deep Research is available for limited use on free accounts, the version running Gemini 2.5 Pro is currently restricted to Gemini Advanced subscribers.


Featured image credit

Tags: geminiGoogle

Related Posts

Texas Attorney General files lawsuit over the PowerSchool data breach

Texas Attorney General files lawsuit over the PowerSchool data breach

September 5, 2025
iPhone 17 Pro is expected to arrive with 48mp telephoto, variable aperture expected

iPhone 17 Pro is expected to arrive with 48mp telephoto, variable aperture expected

September 5, 2025
AI chatbots spread false info in 1 of 3 responses

AI chatbots spread false info in 1 of 3 responses

September 5, 2025
OpenAI to mass produce custom AI chip with Broadcom in 2025

OpenAI to mass produce custom AI chip with Broadcom in 2025

September 5, 2025
When two Mark Zuckerbergs collide

When two Mark Zuckerbergs collide

September 5, 2025
Deepmind finds RAG limit with fixed-size embeddings

Deepmind finds RAG limit with fixed-size embeddings

September 5, 2025

LATEST NEWS

Texas Attorney General files lawsuit over the PowerSchool data breach

iPhone 17 Pro is expected to arrive with 48mp telephoto, variable aperture expected

AI chatbots spread false info in 1 of 3 responses

OpenAI to mass produce custom AI chip with Broadcom in 2025

When two Mark Zuckerbergs collide

Deepmind finds RAG limit with fixed-size embeddings

Dataconomy

COPYRIGHT © DATACONOMY MEDIA GMBH, ALL RIGHTS RESERVED.

  • About
  • Imprint
  • Contact
  • Legal & Privacy

Follow Us

  • News
    • Artificial Intelligence
    • Cybersecurity
    • DeFi & Blockchain
    • Finance
    • Gaming
    • Startups
    • Tech
  • Industry
  • Research
  • Resources
    • Articles
    • Guides
    • Case Studies
    • Glossary
    • Whitepapers
  • Newsletter
  • + More
    • Conversations
    • Events
    • About
      • About
      • Contact
      • Imprint
      • Legal & Privacy
      • Partner With Us
No Result
View All Result
Subscribe

This website uses cookies. By continuing to use this website you are giving consent to cookies being used. Visit our Privacy Policy.