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Garena Free Fire Max Redeem Codes for June 23

Garena Free Fire Max Redeem Codes for June 23

Free Fire Gaming List Tech-news

Update

Added new Free Fire Max Redeem codes on June 23, 2025.

Garena Free Fire Max is one of the most popular games on the planet, and for good reason. It combines the fast-paced battleground royale action of games like PUBG & CODM, while being easy on system resources. To keep things interesting, the game regularly releases promo codes that can be redeemed for exclusive in-game rewards like skins, diamonds, and weapons. Here are all the latest Garena Free Fire codes that unlock exclusive rewards.

Working Garena Free Fire Max Redeem Codes

Here are the working Free Fire codes for June 22nd, 2025:

  • QWTY89VCXZLK
  • ASCV45LKJHGT
  • ZXJH78GFDSAT
  • MNIU12MNBVCD
  • PLWE90QAZXCW
  • ERTY34LKJMNL
  • DFGH67GHJKLT
  • CVBN23BNMLQP
  • JKLY56POIUYC
  • WERZ89ASDFGH
  • BNNM12ZXCVBH
  • VBNM45QWERTN
  • FGHY78POIUAD
  • HGFT01LKJHGN
  • NBVC34ASDFZA
  • LKHJ67QWERTY
  • POIU90ZXCNMQ
  • TREQ23ASDFGJ
  • YUIP56BNMLKO
  • MNBV78ERTYUI

Found an expired or missing code? Please let us know, and we’ll update the article as soon as possible.

How To Redeem Garena Free Fire Max Codes?

Redeeming these codes is pretty easy, but remember to enter the correct spelling as they are case-sensitive. We recommend copying and pasting them directly and connecting your social media account with Free Fire Max.

  1. Go to the official Free Fire Code Redemption Website.
  2. Sign in using your linked account (Facebook, Google, VK, etc.).

  3. Enter your desired codes and hit “Confirm.”

    Image to enter codes in free fire

And that’s it! Your exclusive rewards will automatically be mailed to your in-game mailbox. In the meantime, don’t forget to check out codes for other popular games such as Raid Shadow Legends, WWE 2K25, and NBA 2K25.

How to Get More Codes?

Image of the free fire discord

The easiest way to get more codes is by bookmarking this page, as we scour the internet daily for all the latest content. Alternatively, you should join the official Free Fire Discord server and keep an eye on the announcements section.

Free Fire Max Code Not Working?

Since these codes are only available for a limited time, with some even expiring after just one day, it’s possible that a certain code expired between the time of writing this article and when you tried to redeem it. If that’s the case, we’ll update the article soon. Also, double-check your spelling for errors as well.

Frequently Asked Questions (FAQs)

Is there a Free Fire Trello board?

Unfortunately, Free Fire does not have an official Trello board.

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White House officials are exploring official government oversight of new AI models, according to the New York Times.

U.S. officials, speaking on the condition of anonymity, told the publication that the Trump administration is forming an AI working group composed of tech leaders and government representatives. The group will be tasked with outlining potential oversight procedures for new models launching to market, including formal review processes, the Times reported.

SEE ALSO: Student sues matchmaking app for allegedly stealing her likeness for an ad

The proposed plans were discussed at a White House meeting last week with representatives from Anthropic, Google, and OpenAI.

Potentially influenced by regulatory processes announced by UK regulators, which relegate AI oversight to relevant government bodies, the working group would also determine which U.S. agencies would be tasked with oversight. Some officials have suggested the National Security Agency (NSA), the White House Office of the National Cyber Director, and the director of national intelligence take the lead, while others have even suggested revitalizing the Biden-era Center for A.I. Standards and Innovation, according to the Times.

The administration has reversed its stance on AI regulation in recent months, despite announcing a federal AI action plan that pulled back on regulation of tech companies and threatened to reduce federal funding for states that impeded AI infrastructure efforts through regulation. Trump’s One Big Beautiful Bill also included limits on state governments’ AI regulation, originally proposing a 10-year moratorium on state action in favor of federal oversight.

Trump appointee and FCC chairman Brendan Carr has also advocated for a light-touch approach to AI regulation.

#Trump #federal #model #oversight">Trump considering federal AI model oversight White House officials are exploring official government oversight of new AI models, according to the New York Times. U.S. officials, speaking on the condition of anonymity, told the publication that the Trump administration is forming an AI working group composed of tech leaders and government representatives. The group will be tasked with outlining potential oversight procedures for new models launching to market, including formal review processes, the Times reported. SEE ALSO: Student sues matchmaking app for allegedly stealing her likeness for an ad The proposed plans were discussed at a White House meeting last week with representatives from Anthropic, Google, and OpenAI. Mashable Light Speed Potentially influenced by regulatory processes announced by UK regulators, which relegate AI oversight to relevant government bodies, the working group would also determine which U.S. agencies would be tasked with oversight. Some officials have suggested the National Security Agency (NSA), the White House Office of the National Cyber Director, and the director of national intelligence take the lead, while others have even suggested revitalizing the Biden-era Center for A.I. Standards and Innovation, according to the Times. The administration has reversed its stance on AI regulation in recent months, despite announcing a federal AI action plan that pulled back on regulation of tech companies and threatened to reduce federal funding for states that impeded AI infrastructure efforts through regulation. Trump’s One Big Beautiful Bill also included limits on state governments’ AI regulation, originally proposing a 10-year moratorium on state action in favor of federal oversight. Trump appointee and FCC chairman Brendan Carr has also advocated for a light-touch approach to AI regulation. #Trump #federal #model #oversight

government oversight of new AI models, according to the New York Times.

U.S. officials, speaking on the condition of anonymity, told the publication that the Trump administration is forming an AI working group composed of tech leaders and government representatives. The group will be tasked with outlining potential oversight procedures for new models launching to market, including formal review processes, the Times reported.

SEE ALSO: Student sues matchmaking app for allegedly stealing her likeness for an ad

The proposed plans were discussed at a White House meeting last week with representatives from Anthropic, Google, and OpenAI.

Potentially influenced by regulatory processes announced by UK regulators, which relegate AI oversight to relevant government bodies, the working group would also determine which U.S. agencies would be tasked with oversight. Some officials have suggested the National Security Agency (NSA), the White House Office of the National Cyber Director, and the director of national intelligence take the lead, while others have even suggested revitalizing the Biden-era Center for A.I. Standards and Innovation, according to the Times.

The administration has reversed its stance on AI regulation in recent months, despite announcing a federal AI action plan that pulled back on regulation of tech companies and threatened to reduce federal funding for states that impeded AI infrastructure efforts through regulation. Trump’s One Big Beautiful Bill also included limits on state governments’ AI regulation, originally proposing a 10-year moratorium on state action in favor of federal oversight.

Trump appointee and FCC chairman Brendan Carr has also advocated for a light-touch approach to AI regulation.

#Trump #federal #model #oversight">Trump considering federal AI model oversight

White House officials are exploring official government oversight of new AI models, according to the New York Times.

U.S. officials, speaking on the condition of anonymity, told the publication that the Trump administration is forming an AI working group composed of tech leaders and government representatives. The group will be tasked with outlining potential oversight procedures for new models launching to market, including formal review processes, the Times reported.

SEE ALSO: Student sues matchmaking app for allegedly stealing her likeness for an ad

The proposed plans were discussed at a White House meeting last week with representatives from Anthropic, Google, and OpenAI.

Potentially influenced by regulatory processes announced by UK regulators, which relegate AI oversight to relevant government bodies, the working group would also determine which U.S. agencies would be tasked with oversight. Some officials have suggested the National Security Agency (NSA), the White House Office of the National Cyber Director, and the director of national intelligence take the lead, while others have even suggested revitalizing the Biden-era Center for A.I. Standards and Innovation, according to the Times.

The administration has reversed its stance on AI regulation in recent months, despite announcing a federal AI action plan that pulled back on regulation of tech companies and threatened to reduce federal funding for states that impeded AI infrastructure efforts through regulation. Trump’s One Big Beautiful Bill also included limits on state governments’ AI regulation, originally proposing a 10-year moratorium on state action in favor of federal oversight.

Trump appointee and FCC chairman Brendan Carr has also advocated for a light-touch approach to AI regulation.

#Trump #federal #model #oversight

On May 4, 2026, the U.S. Securities and Exchange Commission filed an amended complaint to add the Elon Musk Revocable Trust dated July 22, 2003 (the “Revocable Trust”) as a defendant to this action. The amended complaint alleges that the defendants failed to timely file a beneficial ownership report with the Commission after the Revocable Trust acquired beneficial ownership of more than five percent of the outstanding shares of Twitter, Inc. common stock, in violation of the beneficial ownership reporting requirements under the Securities Exchange Act of 1934 (“Exchange Act”).

The SEC simultaneously moved for entry of a consent final judgment as to the Revocable Trust. Without admitting or denying the allegations of the complaint as to the Revocable Trust, the Revocable Trust consented to entry of a final judgment, subject to court approval, that would permanently enjoin it from violating Section 13(d) of the Exchange Act and Rule 13d-1 thereunder and order it to pay a civil penalty of $1.5 million.

As explained in the consent motion, if the court enters the proposed final judgment as to the Revocable Trust as proposed by the Revocable Trust and the SEC, the SEC will file a stipulated dismissal of Elon Musk in his personal capacity, which will resolve this case in its entirety.

#Elon #Musk #settle #feds #Twitter #lawsuit #pocket #changeElon Musk,Law,News,Policy,Tech,Twitter – X">Elon Musk will settle the feds’ Twitter lawsuit with pocket changeOn May 4, 2026, the U.S. Securities and Exchange Commission filed an amended complaint to add the Elon Musk Revocable Trust dated July 22, 2003 (the “Revocable Trust”) as a defendant to this action. The amended complaint alleges that the defendants failed to timely file a beneficial ownership report with the Commission after the Revocable Trust acquired beneficial ownership of more than five percent of the outstanding shares of Twitter, Inc. common stock, in violation of the beneficial ownership reporting requirements under the Securities Exchange Act of 1934 (“Exchange Act”).The SEC simultaneously moved for entry of a consent final judgment as to the Revocable Trust. Without admitting or denying the allegations of the complaint as to the Revocable Trust, the Revocable Trust consented to entry of a final judgment, subject to court approval, that would permanently enjoin it from violating Section 13(d) of the Exchange Act and Rule 13d-1 thereunder and order it to pay a civil penalty of .5 million.As explained in the consent motion, if the court enters the proposed final judgment as to the Revocable Trust as proposed by the Revocable Trust and the SEC, the SEC will file a stipulated dismissal of Elon Musk in his personal capacity, which will resolve this case in its entirety.#Elon #Musk #settle #feds #Twitter #lawsuit #pocket #changeElon Musk,Law,News,Policy,Tech,Twitter – X


Image model releases are driving growth for AI mobile apps, generating 6.5x more downloads than traditional model updates, according to a new report from app intelligence provider Appfigures.

This marks a shift from earlier days, when the release of new models powering the conversational experiences drove more demand, alongside the new features like a voice chat interface.

For instance, ChatGPT and Gemini each added tens of millions of new downloads after releasing their respective image models, Appfigures found.

For Google’s Gemini, the release of its image model Nano Banana drove an additional 22+ million downloads in the 28 days following the introduction of the Gemini 2.5 Flash image model last August. This launch lifted the app’s downloads by more than 4x over that period, the data showed.

Image AI models now drive app growth, beating chatbot upgrades | TechCrunch Image model releases are driving growth for AI mobile apps, generating 6.5x more downloads than traditional model updates, according to a new report from app intelligence provider Appfigures. This marks a shift from earlier days, when the release of new models powering the conversational experiences drove more demand, alongside the new features like a voice chat interface. For instance, ChatGPT and Gemini each added tens of millions of new downloads after releasing their respective image models, Appfigures found. For Google’s Gemini, the release of its image model Nano Banana drove an additional 22+ million downloads in the 28 days following the introduction of the Gemini 2.5 Flash image model last August. This launch lifted the app’s downloads by more than 4x over that period, the data showed. Image Credits:Appfigures Meanwhile, ChatGPT added more than 12 million incremental installs in the 28 days after the introduction of its GPT-4o image model in March of last year. That’s roughly 4.5x more downloads than it saw for its GPT-4o, GPT-4.5, and GPT-5 model releases, Appfigures pointed out. Other model releases followed similar trends, though on a smaller scale. Meta AI’s introduction of its AI video feed Vibes added an estimated 2.6 million incremental downloads in the 28 days after its September 2025 release. (Yes, technically, this is a video model, but it’s ultimately about visual content, not just text.) Image Credits:Appfigures Still, the report cautioned, additional downloads don’t always translate into increased mobile revenue. Techcrunch event San Francisco, CA | October 13-15, 2026 Instead, new image model releases give people a reason to install the app and try out its improved image-generation capabilities. That doesn’t mean they’ll necessarily convert to paying subscribers. For example, Appfigures noted that Nano Banana drove only 1,000 in estimated gross consumer spending during the 28-day window following its release, even though it produced a larger spike in downloads than ChatGPT’s 4o image model release. Meta AI’s launch of Vibes also led to additional downloads, but no meaningful revenue. Among the three, only ChatGPT turned the increased attention into actual dollars. OpenAI’s 4o image-generation model led to an estimated million in gross consumer spending over the 28 days after its launch, compared with its prior baseline, Appfigures said. Image Credits:Appfigures The company also looked at DeepSeek in its analysis, but it didn’t fit the pattern. While DeepSeek R1 drove 28 million downloads after its January 2025 release, it wasn’t a typical model comparison event. This was DeepSeek’s breakout moment, when it went from being relatively unknown to an overnight sensation as the tech industry learned about the techniques it used to train its AI models at a fraction of the cost of its competitors. This case highlights how curiosity can drive downloads — though in this instance, the interest wasn’t tied to an image model. When you purchase through links in our articles, we may earn a small commission. This doesn’t affect our editorial independence.#Image #models #drive #app #growth #beating #chatbot #upgrades #TechCrunchai apps,ChatGPT,gemini,image models,meta ai
Image Credits:Appfigures

Meanwhile, ChatGPT added more than 12 million incremental installs in the 28 days after the introduction of its GPT-4o image model in March of last year. That’s roughly 4.5x more downloads than it saw for its GPT-4o, GPT-4.5, and GPT-5 model releases, Appfigures pointed out.

Other model releases followed similar trends, though on a smaller scale. Meta AI’s introduction of its AI video feed Vibes added an estimated 2.6 million incremental downloads in the 28 days after its September 2025 release. (Yes, technically, this is a video model, but it’s ultimately about visual content, not just text.)

Image Credits:Appfigures

Still, the report cautioned, additional downloads don’t always translate into increased mobile revenue.

Techcrunch event

San Francisco, CA | October 13-15, 2026

Instead, new image model releases give people a reason to install the app and try out its improved image-generation capabilities. That doesn’t mean they’ll necessarily convert to paying subscribers. For example, Appfigures noted that Nano Banana drove only $181,000 in estimated gross consumer spending during the 28-day window following its release, even though it produced a larger spike in downloads than ChatGPT’s 4o image model release.

Meta AI’s launch of Vibes also led to additional downloads, but no meaningful revenue.

Among the three, only ChatGPT turned the increased attention into actual dollars.

OpenAI’s 4o image-generation model led to an estimated $70 million in gross consumer spending over the 28 days after its launch, compared with its prior baseline, Appfigures said.

Image Credits:Appfigures

The company also looked at DeepSeek in its analysis, but it didn’t fit the pattern.

While DeepSeek R1 drove 28 million downloads after its January 2025 release, it wasn’t a typical model comparison event. This was DeepSeek’s breakout moment, when it went from being relatively unknown to an overnight sensation as the tech industry learned about the techniques it used to train its AI models at a fraction of the cost of its competitors. This case highlights how curiosity can drive downloads — though in this instance, the interest wasn’t tied to an image model.

When you purchase through links in our articles, we may earn a small commission. This doesn’t affect our editorial independence.

#Image #models #drive #app #growth #beating #chatbot #upgrades #TechCrunchai apps,ChatGPT,gemini,image models,meta ai">Image AI models now drive app growth, beating chatbot upgrades | TechCrunch Image model releases are driving growth for AI mobile apps, generating 6.5x more downloads than traditional model updates, according to a new report from app intelligence provider Appfigures. This marks a shift from earlier days, when the release of new models powering the conversational experiences drove more demand, alongside the new features like a voice chat interface. For instance, ChatGPT and Gemini each added tens of millions of new downloads after releasing their respective image models, Appfigures found. For Google’s Gemini, the release of its image model Nano Banana drove an additional 22+ million downloads in the 28 days following the introduction of the Gemini 2.5 Flash image model last August. This launch lifted the app’s downloads by more than 4x over that period, the data showed. Image Credits:Appfigures Meanwhile, ChatGPT added more than 12 million incremental installs in the 28 days after the introduction of its GPT-4o image model in March of last year. That’s roughly 4.5x more downloads than it saw for its GPT-4o, GPT-4.5, and GPT-5 model releases, Appfigures pointed out. Other model releases followed similar trends, though on a smaller scale. Meta AI’s introduction of its AI video feed Vibes added an estimated 2.6 million incremental downloads in the 28 days after its September 2025 release. (Yes, technically, this is a video model, but it’s ultimately about visual content, not just text.) Image Credits:Appfigures Still, the report cautioned, additional downloads don’t always translate into increased mobile revenue. Techcrunch event San Francisco, CA | October 13-15, 2026 Instead, new image model releases give people a reason to install the app and try out its improved image-generation capabilities. That doesn’t mean they’ll necessarily convert to paying subscribers. For example, Appfigures noted that Nano Banana drove only 1,000 in estimated gross consumer spending during the 28-day window following its release, even though it produced a larger spike in downloads than ChatGPT’s 4o image model release. Meta AI’s launch of Vibes also led to additional downloads, but no meaningful revenue. Among the three, only ChatGPT turned the increased attention into actual dollars. OpenAI’s 4o image-generation model led to an estimated million in gross consumer spending over the 28 days after its launch, compared with its prior baseline, Appfigures said. Image Credits:Appfigures The company also looked at DeepSeek in its analysis, but it didn’t fit the pattern. While DeepSeek R1 drove 28 million downloads after its January 2025 release, it wasn’t a typical model comparison event. This was DeepSeek’s breakout moment, when it went from being relatively unknown to an overnight sensation as the tech industry learned about the techniques it used to train its AI models at a fraction of the cost of its competitors. This case highlights how curiosity can drive downloads — though in this instance, the interest wasn’t tied to an image model. When you purchase through links in our articles, we may earn a small commission. This doesn’t affect our editorial independence.#Image #models #drive #app #growth #beating #chatbot #upgrades #TechCrunchai apps,ChatGPT,gemini,image models,meta ai

new models powering the conversational experiences drove more demand, alongside the new features like a voice chat interface.

For instance, ChatGPT and Gemini each added tens of millions of new downloads after releasing their respective image models, Appfigures found.

For Google’s Gemini, the release of its image model Nano Banana drove an additional 22+ million downloads in the 28 days following the introduction of the Gemini 2.5 Flash image model last August. This launch lifted the app’s downloads by more than 4x over that period, the data showed.

Image AI models now drive app growth, beating chatbot upgrades | TechCrunch Image model releases are driving growth for AI mobile apps, generating 6.5x more downloads than traditional model updates, according to a new report from app intelligence provider Appfigures. This marks a shift from earlier days, when the release of new models powering the conversational experiences drove more demand, alongside the new features like a voice chat interface. For instance, ChatGPT and Gemini each added tens of millions of new downloads after releasing their respective image models, Appfigures found. For Google’s Gemini, the release of its image model Nano Banana drove an additional 22+ million downloads in the 28 days following the introduction of the Gemini 2.5 Flash image model last August. This launch lifted the app’s downloads by more than 4x over that period, the data showed. Image Credits:Appfigures Meanwhile, ChatGPT added more than 12 million incremental installs in the 28 days after the introduction of its GPT-4o image model in March of last year. That’s roughly 4.5x more downloads than it saw for its GPT-4o, GPT-4.5, and GPT-5 model releases, Appfigures pointed out. Other model releases followed similar trends, though on a smaller scale. Meta AI’s introduction of its AI video feed Vibes added an estimated 2.6 million incremental downloads in the 28 days after its September 2025 release. (Yes, technically, this is a video model, but it’s ultimately about visual content, not just text.) Image Credits:Appfigures Still, the report cautioned, additional downloads don’t always translate into increased mobile revenue. Techcrunch event San Francisco, CA | October 13-15, 2026 Instead, new image model releases give people a reason to install the app and try out its improved image-generation capabilities. That doesn’t mean they’ll necessarily convert to paying subscribers. For example, Appfigures noted that Nano Banana drove only 1,000 in estimated gross consumer spending during the 28-day window following its release, even though it produced a larger spike in downloads than ChatGPT’s 4o image model release. Meta AI’s launch of Vibes also led to additional downloads, but no meaningful revenue. Among the three, only ChatGPT turned the increased attention into actual dollars. OpenAI’s 4o image-generation model led to an estimated million in gross consumer spending over the 28 days after its launch, compared with its prior baseline, Appfigures said. Image Credits:Appfigures The company also looked at DeepSeek in its analysis, but it didn’t fit the pattern. While DeepSeek R1 drove 28 million downloads after its January 2025 release, it wasn’t a typical model comparison event. This was DeepSeek’s breakout moment, when it went from being relatively unknown to an overnight sensation as the tech industry learned about the techniques it used to train its AI models at a fraction of the cost of its competitors. This case highlights how curiosity can drive downloads — though in this instance, the interest wasn’t tied to an image model. When you purchase through links in our articles, we may earn a small commission. This doesn’t affect our editorial independence.#Image #models #drive #app #growth #beating #chatbot #upgrades #TechCrunchai apps,ChatGPT,gemini,image models,meta ai
Image Credits:Appfigures

Meanwhile, ChatGPT added more than 12 million incremental installs in the 28 days after the introduction of its GPT-4o image model in March of last year. That’s roughly 4.5x more downloads than it saw for its GPT-4o, GPT-4.5, and GPT-5 model releases, Appfigures pointed out.

Other model releases followed similar trends, though on a smaller scale. Meta AI’s introduction of its AI video feed Vibes added an estimated 2.6 million incremental downloads in the 28 days after its September 2025 release. (Yes, technically, this is a video model, but it’s ultimately about visual content, not just text.)

Image Credits:Appfigures

Still, the report cautioned, additional downloads don’t always translate into increased mobile revenue.

Techcrunch event

San Francisco, CA | October 13-15, 2026

Instead, new image model releases give people a reason to install the app and try out its improved image-generation capabilities. That doesn’t mean they’ll necessarily convert to paying subscribers. For example, Appfigures noted that Nano Banana drove only $181,000 in estimated gross consumer spending during the 28-day window following its release, even though it produced a larger spike in downloads than ChatGPT’s 4o image model release.

Meta AI’s launch of Vibes also led to additional downloads, but no meaningful revenue.

Among the three, only ChatGPT turned the increased attention into actual dollars.

OpenAI’s 4o image-generation model led to an estimated $70 million in gross consumer spending over the 28 days after its launch, compared with its prior baseline, Appfigures said.

Image Credits:Appfigures

The company also looked at DeepSeek in its analysis, but it didn’t fit the pattern.

While DeepSeek R1 drove 28 million downloads after its January 2025 release, it wasn’t a typical model comparison event. This was DeepSeek’s breakout moment, when it went from being relatively unknown to an overnight sensation as the tech industry learned about the techniques it used to train its AI models at a fraction of the cost of its competitors. This case highlights how curiosity can drive downloads — though in this instance, the interest wasn’t tied to an image model.

When you purchase through links in our articles, we may earn a small commission. This doesn’t affect our editorial independence.

#Image #models #drive #app #growth #beating #chatbot #upgrades #TechCrunchai apps,ChatGPT,gemini,image models,meta ai">Image AI models now drive app growth, beating chatbot upgrades | TechCrunch


Image model releases are driving growth for AI mobile apps, generating 6.5x more downloads than traditional model updates, according to a new report from app intelligence provider Appfigures.

This marks a shift from earlier days, when the release of new models powering the conversational experiences drove more demand, alongside the new features like a voice chat interface.

For instance, ChatGPT and Gemini each added tens of millions of new downloads after releasing their respective image models, Appfigures found.

For Google’s Gemini, the release of its image model Nano Banana drove an additional 22+ million downloads in the 28 days following the introduction of the Gemini 2.5 Flash image model last August. This launch lifted the app’s downloads by more than 4x over that period, the data showed.

Image AI models now drive app growth, beating chatbot upgrades | TechCrunch Image model releases are driving growth for AI mobile apps, generating 6.5x more downloads than traditional model updates, according to a new report from app intelligence provider Appfigures. This marks a shift from earlier days, when the release of new models powering the conversational experiences drove more demand, alongside the new features like a voice chat interface. For instance, ChatGPT and Gemini each added tens of millions of new downloads after releasing their respective image models, Appfigures found. For Google’s Gemini, the release of its image model Nano Banana drove an additional 22+ million downloads in the 28 days following the introduction of the Gemini 2.5 Flash image model last August. This launch lifted the app’s downloads by more than 4x over that period, the data showed. Image Credits:Appfigures Meanwhile, ChatGPT added more than 12 million incremental installs in the 28 days after the introduction of its GPT-4o image model in March of last year. That’s roughly 4.5x more downloads than it saw for its GPT-4o, GPT-4.5, and GPT-5 model releases, Appfigures pointed out. Other model releases followed similar trends, though on a smaller scale. Meta AI’s introduction of its AI video feed Vibes added an estimated 2.6 million incremental downloads in the 28 days after its September 2025 release. (Yes, technically, this is a video model, but it’s ultimately about visual content, not just text.) Image Credits:Appfigures Still, the report cautioned, additional downloads don’t always translate into increased mobile revenue. Techcrunch event San Francisco, CA | October 13-15, 2026 Instead, new image model releases give people a reason to install the app and try out its improved image-generation capabilities. That doesn’t mean they’ll necessarily convert to paying subscribers. For example, Appfigures noted that Nano Banana drove only 1,000 in estimated gross consumer spending during the 28-day window following its release, even though it produced a larger spike in downloads than ChatGPT’s 4o image model release. Meta AI’s launch of Vibes also led to additional downloads, but no meaningful revenue. Among the three, only ChatGPT turned the increased attention into actual dollars. OpenAI’s 4o image-generation model led to an estimated million in gross consumer spending over the 28 days after its launch, compared with its prior baseline, Appfigures said. Image Credits:Appfigures The company also looked at DeepSeek in its analysis, but it didn’t fit the pattern. While DeepSeek R1 drove 28 million downloads after its January 2025 release, it wasn’t a typical model comparison event. This was DeepSeek’s breakout moment, when it went from being relatively unknown to an overnight sensation as the tech industry learned about the techniques it used to train its AI models at a fraction of the cost of its competitors. This case highlights how curiosity can drive downloads — though in this instance, the interest wasn’t tied to an image model. When you purchase through links in our articles, we may earn a small commission. This doesn’t affect our editorial independence.#Image #models #drive #app #growth #beating #chatbot #upgrades #TechCrunchai apps,ChatGPT,gemini,image models,meta ai
Image Credits:Appfigures

Meanwhile, ChatGPT added more than 12 million incremental installs in the 28 days after the introduction of its GPT-4o image model in March of last year. That’s roughly 4.5x more downloads than it saw for its GPT-4o, GPT-4.5, and GPT-5 model releases, Appfigures pointed out.

Other model releases followed similar trends, though on a smaller scale. Meta AI’s introduction of its AI video feed Vibes added an estimated 2.6 million incremental downloads in the 28 days after its September 2025 release. (Yes, technically, this is a video model, but it’s ultimately about visual content, not just text.)

Image Credits:Appfigures

Still, the report cautioned, additional downloads don’t always translate into increased mobile revenue.

Techcrunch event

San Francisco, CA | October 13-15, 2026

Instead, new image model releases give people a reason to install the app and try out its improved image-generation capabilities. That doesn’t mean they’ll necessarily convert to paying subscribers. For example, Appfigures noted that Nano Banana drove only $181,000 in estimated gross consumer spending during the 28-day window following its release, even though it produced a larger spike in downloads than ChatGPT’s 4o image model release.

Meta AI’s launch of Vibes also led to additional downloads, but no meaningful revenue.

Among the three, only ChatGPT turned the increased attention into actual dollars.

OpenAI’s 4o image-generation model led to an estimated $70 million in gross consumer spending over the 28 days after its launch, compared with its prior baseline, Appfigures said.

Image Credits:Appfigures

The company also looked at DeepSeek in its analysis, but it didn’t fit the pattern.

While DeepSeek R1 drove 28 million downloads after its January 2025 release, it wasn’t a typical model comparison event. This was DeepSeek’s breakout moment, when it went from being relatively unknown to an overnight sensation as the tech industry learned about the techniques it used to train its AI models at a fraction of the cost of its competitors. This case highlights how curiosity can drive downloads — though in this instance, the interest wasn’t tied to an image model.

When you purchase through links in our articles, we may earn a small commission. This doesn’t affect our editorial independence.

#Image #models #drive #app #growth #beating #chatbot #upgrades #TechCrunchai apps,ChatGPT,gemini,image models,meta ai

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