
OpenAI has unveiled its new GPT-5 model, an iteration that comes with improvements in reasoning and a reduced propensity to fabricate facts, which is also becoming available gradually to all types of ChatGPT users, including free users with daily limits. The company defines it as its most capable system to date and offers it in several modes to adjust speed, cost and latency depending on use.
The launch comes amidst a backdrop of massive adoption: OpenAI aims to approaching 700 million weekly users and holds talks with investors who value the company around 500.000 millionStill, the reception hasn't been unanimous, opening up a debate about the product's direction and the actual pace of advancement in generative AI.
What's changing with GPT-5: capabilities and usage modes

According to OpenAI, the model offers more accurate interaction, with fewer hallucinations and greater control over when to say “I don’t know”To this end, the firm claims to have dedicated around 5.000 hours of safety testing and post-training that prioritizes useful and secure responses over automatic rejections in sensitive queries.
A notable novelty is the ability to reason explicitly in more contexts, something the company wants to bring even to free accounts under a daily quota. When that quota is exhausted, the interface can automatically switch to GPT-5 mini to maintain the experience, with controlled degradation of latency and cost.
On the development side, GPT-5 comes with three API variants —gpt-5, gpt-5-mini and gpt-5-nano— to cover everything from complex cases to lightweight integrations. Companies like Box They have tested the new model in logic and mathematics on long documents, highlighting consistency improvements in tasks that combine reasoning and dense reading.
During the demo, OpenAI demonstrated a flow it calls “vibe coding”: create functional applications from simple written instructions, generating prototypes in seconds with cards, questionnaires, and progress tracking. The idea is for the model to "think before answering," provide structure, and complete steps without losing the thread in long conversations.
The deployment also strengthens the alliance with Microsoft. GPT-5 integrates into Microsoft 365 Copilot, Azure AI Foundry and other solutions, consolidating the technology company as the main corporate channel for the mass adoption of the new model.
Bumpy launch, change of tone and OpenAI adjustments
The launch came with a bang. OpenAI initially pushed many users to use only the new model, prompting complaints from those who They preferred personalities and responses from previous versionsThe company has rectified and reintroduced previous options such as GPT-4o in certain paid plans, seeking a balance between continuity and evolution.
Some of the criticism was aimed at a GPT-5 perceived as more “serious” and less warm. OpenAI defended that it had reduced complacency and flattery to avoid emotional dependencies, a line that Sam Altman himself has publicly endorsed. Later, the company made a style adjustment incorporating moderate expressions of courtesy (e.g., “Good question” or “Good start”) to soften the interaction without reverting to a flattering tone.
From the product team, Nick Turley He explained that the debate reflects very different uses of the assistant: writing, programming or getting information are still core, but there are profiles that value a closest conversational linkThis clash of expectations explains polarized reactions: for some, GPT-5 works better; for others, Personality weighs as much as precision.
In parallel to the controversy, the adoption indicators were overwhelming: in a matter of hours the API traffic doubled and the company acknowledged capacity tensions due to lack of GPUThe model selection feature within ChatGPT has also been welcomed by those looking to control behavior based on task.
The networks collected anecdotes of failures and comparisons with previous versions. Some experts suggested that certain deployment decisions and conversion between variants could affect stability in specific cases, while OpenAI insists on the average improvement in accuracy and in the coverage of long dialogues.
Mass adoption, business and industry implications
Beyond the initial pulse, GPT-5 consolidates ChatGPT as one of the most trafficked websites in the world and fuels a strategy that aims to scale from hundreds of millions to billions of users. In parallel, ambitious figures and goals are circulating—such as the valuation of 500.000 million—which underline the project's drive, but also the bar it must overcome with each update.
The reception has reopened a broader debate: in contrast to those who expected a “quantum” leap, the new model is perceived by many as a incremental and linear improvementThis does not invalidate the progress, but it does chill the narrative of constant exponential growth and forces us to calibrate times, costs and availability of data and computing to train increasingly larger systems.
The limit of quality data on the Internet, the energy and training costs and the complexity of global deployment weigh on the equation. If progress slows, market expectations and adoption plans in companies and governments could be adjusted, as the sector transitions to a new phase. more mature and less spectacular in the short term.
Overall, GPT-5 offers tangible improvements in practical reasoning, managing extended conversations, and professional integration options. OpenAI will continue to iterate on the assistant's tone and refine its behavior, while multiplying usage paths with lighter variants to extend its reach without increasing costs.
The new model aims at a complicated balance: be more useful, consistent, and secure without breaking the relationship that millions of people had already forged with ChatGPT. Between technical improvements, style tweaks, and ever-increasing adoption, GPT-5 is establishing itself as the current standard while the industry tests the next step.