#googlereleasesgemini4argonaimodel šØ GOOGLE FIGHTS BACK IN THE AI RACE! GEMINI 4 ARGON MAY CHANGE THE GAME
š„ The AI competition is getting hotterā. Google just took a big step!
Google has introduced Gemini 4 Argon, its top AI model designed for complex thinking, advanced programming, financial analysis, legal tasks and security work. The main question for people who invest money: can Google use AI abilities to make more money?
šHere are 4 things to keep an eye on
š§ 1. A 1 Million-Token Context
Argon allows a 1-million-token input-output limit through its API, which helps it manage codebases, long documents and complicated multi-step jobs.
š» 2. Improved Coding Efficiency
Google says that internal teams using Argon in Antigravity had code submissions by over 35% while cutting down code rollbacks by almost a third.
š° 3. Low Cost for New Users
API pricing starts at $2 per million input tokens and $10 per million output tokens. The prices will double after November 30 2026.
š 4. What It Means for People Who Invest
The chance is not just another AI release. It's whether Google can make money from AI through cloud services tools for programmers, business use and better efficiency.
ā ļø The competition is still very tough. Great tests and good shows don't always mean money or higher stock prices.
š„ My opinion: Look at how many people use it how much companies spend how much AI systems are needed and how much profit is madeānot the excitement.
š What do you think?
Which AI company is the strongest for what comes
š Google
š¤ OpenAI
š§ Anthropic
ā” Nvidia. The company that makes the hardware
š¬ Tell me your choice!
#trading #AI #Khan62 #Investing #OpenAI
$GOOGL $META $AMD
š„ The AI competition is getting hotterā. Google just took a big step!
Google has introduced Gemini 4 Argon, its top AI model designed for complex thinking, advanced programming, financial analysis, legal tasks and security work. The main question for people who invest money: can Google use AI abilities to make more money?
šHere are 4 things to keep an eye on
š§ 1. A 1 Million-Token Context
Argon allows a 1-million-token input-output limit through its API, which helps it manage codebases, long documents and complicated multi-step jobs.
š» 2. Improved Coding Efficiency
Google says that internal teams using Argon in Antigravity had code submissions by over 35% while cutting down code rollbacks by almost a third.
š° 3. Low Cost for New Users
API pricing starts at $2 per million input tokens and $10 per million output tokens. The prices will double after November 30 2026.
š 4. What It Means for People Who Invest
The chance is not just another AI release. It's whether Google can make money from AI through cloud services tools for programmers, business use and better efficiency.
ā ļø The competition is still very tough. Great tests and good shows don't always mean money or higher stock prices.
š„ My opinion: Look at how many people use it how much companies spend how much AI systems are needed and how much profit is madeānot the excitement.
š What do you think?
Which AI company is the strongest for what comes
š Google
š¤ OpenAI
š§ Anthropic
ā” Nvidia. The company that makes the hardware
š¬ Tell me your choice!
#trading #AI #Khan62 #Investing #OpenAI
$GOOGL $META $AMD