Skip to main content
  1. Home
  2. Computing
  3. News

OpenAI just took the shackles off the free version of ChatGPT

Add as a preferred source on Google

OpenAI announced the release of its newest snack-sized generative model, dubbed GPT-4o mini, which is both less resource intensive and cheaper to operate than its standard GPT-4o model, allowing developers to integrate the AI technology into a far wider range of products.

It’s a big upgrade for developers and apps, but it also expands the capabilities and reduces limitations on the free version of ChatGPT. GPT-4o mini is now available to users on the Free, Plus, and Team tiers through the ChatGPT web and app for users and developers starting today, while ChatGPT Enterprise subscribers will gain access next week. GPT-4o mini will replace the company’s existing small model, GPT-3.5 Turbo, for end users beginning today.

Recommended Videos

The older model is still available to developers through the API if they don’t want to switch to 4o mini just yet. The company says it will retire the older model eventually but has not yet set a date.

GPT-4o has been available to free ChatGPT accounts since May, but there have been limitations around demand. According to the updated FAQ page, GPT-4o proper still has those limitations in place, but you’ll now get downgraded to GPT-4o mini rather than GPT-3.5 when you hit your limit. In theory, that’s a big win for those that haven’t upgraded to ChatGPT Plus.

We’re continuing to make advanced AI accessible to all with the launch of GPT-4o mini, now available in the API and rolling out in ChatGPT today. https://t.co/sTxtOfUapJ

— OpenAI (@OpenAI) July 18, 2024

Per data from Artificial Analysis, OpenAI’s newest AI model scored 82% on the MMLU reasoning benchmark, beating Gemini 1.5 Flash by 3% and Claude 3 Haiku by 7%. For reference, the highest MMLU benchmark to date was set by Gemini Ultra, Google’s top-of-the-line AI, with a score of 90%.

What’s more, OpenAI claims that GPT-4o mini is 60% cheaper to operate than GPT-3.5 Turbo. Developers will pay 15 cents per million input tokens and 60 cents per million output tokens. OpenAI says GPT-4o mini is “the most capable and cost-efficient small model available today,” per CNBC.

Where do those cost savings come from? Well, not every task that can be enhanced by AI needs the full weight and capability of a full-sized model like GPT, Claude or Gemini. Like swatting flies with a sledgehammer, utilizing a standard size LLM for simple but high-volume tasks is overkill and wastes both money and compute resources — which is where small LLMs such as Google’s Gemini 1.5 Flash, Meta’s Llama 3 8b, or Anthropic’s Claude 3 Haiku come in. They’re able to perform these simple, repetitive tasks faster and more cost-efficiently than the larger iterations.

According to OpenAI, GPT-4o mini will have the same size context window, 128,000 tokens (roughly a book’s worth of content), as the full-size version with the same knowledge cutoff as well, October 2023, though the company did not specify the new model’s exact size. The model API currently only offers text and vision capabilities, but video and audio will be coming in the future as well.

The announcement comes just a few weeks after OpenAI provided a long-awaited update on its anticipated, advanced Voice Mode as part of GPT-4o. The company’s update indicated that a smaller alpha release was still to come in late July, with a wider rollout being held for this fall.

Andrew Tarantola
Former Computing Writer
Andrew Tarantola is a journalist with more than a decade reporting on emerging technologies ranging from robotics and machine…
Don’t hold your breath for Meta’s Muse Spark AI to pop up in your phone apps anytime soon
iPhone showing Meta AI Support Assistant

Meta’s next big AI model may not be arriving as quickly as the company originally hoped. According to a report from The Wall Street Journal, Meta has repeatedly delayed the release of its upcoming flagship AI model, internally known as “Muse Spark,” raising fresh questions about the company’s AI ambitions and readiness.

The delays reportedly stem from concerns around performance, reliability, and internal disagreements over whether the model is competitive enough against rapidly advancing rivals like OpenAI, Google, and Anthropic.

Read more
Google wants your app code so badly, it’s willing to pay for it
Google is paying for app code, and the reason is exactly what you think.
Google Logo

Google has been quietly reaching out to Android developers with an offer to buy access to their code. As reported by 404 Media, the company sent emails to a select group of Google Play developers, inviting them to join what it calls a "confidential content offer pilot." 

The email frames it as a revenue opportunity, saying developers can "get paid for sharing the code powering your apps, as well as your archived projects." Google adds that developers retain their intellectual property rights and that the license is non-exclusive.

Read more
Nvidia confirms more RTX Spark processors are coming with N2X and N3 series lined up
Huang confirming a multi-generation roadmap before the first device has even shipped is the clearest signal yet that this is a decade-long commitment.
nvidia-rtx-spark

The PC and laptop industry has run on Intel and AMD silicon so long that most people don’t even question whether these are the only options. 

Nvidia just answered that question at Computex 2026, in the form of the RTX Spark superchip, and Jensen Huang’s comments about what comes next suggest that it wasn’t a one-time experiment. 

Read more