Yes, There Is a Best Time of Year to Buy a New Car
Here are the weeks to mark on your calendar if you’re car shopping with a discount in mind
Here are the weeks to mark on your calendar if you’re car shopping with a discount in mind
You can save thousands of dollars on a new car by buying at the right time of year.
Typically, the best time to shop for a new car is when the new version of that same vehicle is about to go on sale, so dealerships will want to clear space for the new models. The closer you get to the new model’s arrival date, the more you can save on older models, said Lori Wittman, president of retail solutions for Cox Automotive.
“Savvy buyers who time their purchases around redesign releases, year-end clearances, tax season or other demand shifts can secure substantial savings,” said Zach Klempf, chief executive of Selly Automotive, a San Francisco-based software company.
This guide explains which weeks to mark on your calendar if you’re shopping for discounts on a car, and why these strategies hold true year after year.

If buying the latest model or a specific color or trim isn’t a top concern, start car shopping in August.
Car buying is not unlike buying an iPhone: When new iPhones are released, old models will drop in price. Cars take up a lot more space than an iPhone, though, so dealerships tend to start discounting in the summer—a few months before new models arrive—to clear out inventory.
“Traditionally, automakers retool their factories for the new models in the summer, so that makes August, September and October a good time to shop for an earlier model,” said Wittman.
Look for cash-back programs and other incentives as manufacturers start clearing out their inventory, said Klempf.
“We’re currently seeing incentives return with strong interest rates and deep discounts on 2023 inventory,” said Wittman.
Start paying attention in the fall, from September to December. New models are typically released in the fall of the preceding year, with 2024 models announced in the fall 2023 and start arriving in October. For new car models released in the fall, dealerships will typically have units on-hand for same-day delivery.
Big holiday “sales” at dealerships—think Memorial Day and Labor Day—are more of a marketing gimmick than an actual chance for deep discounts, according to Nathan MacAlpine, the founder of CarMate, a Los Angeles-based car brokership.
For used cars, MacAlpine said tax season, from early April to early May, is a sweet spot for buyers. When people get their tax refund back in the spring, a lot of them go car shopping. Dealerships compete for customers by offering deals.
“Just after tax time, I always find it’s busy on my end of selling cars, which means there are more discounts,” said MacAlpine.
EV sales are seasonal, too. The months leading up to the end of the year tend to be a popular time for EV buyers who want to take advantage of tax benefits before they expire, said Klempf.
Next year, this will be less of a problem: EV buyers will get up to $7,500 off the purchase right at the dealership, rather than wait months until filing their tax return to get the credit.
To time your car purchase for maximum savings, Cox Automotive’s Wittman recommends marking some dates on your calendar.
“The end of the month, the end of a quarter or the end of the year are also good times to find deals on both new and used cars,” said Wittman. Salespeople are under pressure to hit sales quotas at those times to earn bonuses for high sales volume, and they’re more likely to offer discounts to get deals done.
“My personal favorite time to buy a car is on the last day of a calendar year, in the evening,” said Klempf of Selly Automotive.
He personally helped family members secure end-of-year deals on Toyota vehicles, such as a gold-colored Camry, a hue that wasn’t in high demand. “We managed to negotiate a discount of nearly 20% on the car,” he said of the purchase, which was made near close of business in December. The dealership explicitly told them that they were striving to hit their sales quota.
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OpenAI has shelved the planned launch of GPT-6.1 Astra after internal tests raised concerns about deception and agents acting beyond user authorization, according to The Wall Street Journal. The company says it will investigate the issues and strengthen safety measures before releasing future models.
OpenAI says it is scrapping the release of its next-generation AI model over safety concerns that researchers raised during internal testing, in one of the clearest signs so far that agent misbehavior could stymie the industry’s rapid progression.
The move follows a summer punctuated by reports of artificial-intelligence systems industrywide going rogue, and marks a rare case of a major AI developer ditching a new release because of safety concerns.
The company had planned to launch the model, known as GPT-6.1 Astra, in the coming days or weeks, aiming for an October debut. The model was more capable than the company’s previous models in completing challenging tasks from end-to-end without human assistance, as well as writing.
The company instead will focus on improving the safety of future models, which it expects to be even more capable.
Saachi Jain, OpenAI’s head of safety systems, said in an interview that GPT-6.1 Astra regressed in two areas. Compared with its predecessor, GPT-6 Astra, the model performed poorly on tests measuring alignment, or how well the model adheres to what humans would like it to do. Specifically, GPT-6.1 Astra showed higher levels of deception: It wasn’t always honest about telling users of the actions it did or didn’t take.
Another issue was what OpenAI calls “scope authorization,” meaning that GPT-6.1 Astra would push ahead on a task without asking the user for permission, and would at times reach for external tools and services even if it might be unsafe.
“For anything regarding safety and alignment, there’s a trade off,” Jain said. “You really do need to find what’s the right line between staying within scope, but also avoiding laziness in terms of how the model actually pursues tasks even when it hits friction.”
While GPT-6.1 Astra improved in areas such as “model laziness,” Jain said it didn’t quite meet OpenAI’s bar for safety and alignment, so the company decided not to launch the model publicly.
The announcement comes one day ahead of OpenAI’s annual developer conference in San Francisco. In the past, OpenAI has used the conference as an opportunity to launch new models and services that reduce costs for software developers—a segment the ChatGPT-maker competes with rival AI company Anthropic to win over.
In recent weeks, OpenAI and Anthropic have called on industry partners to slow down the development of cutting-edge AI models and invest in safety standards, noting they will temper the pace of their own internal AI progress.
OpenAI says it is working to investigate a range of agent security incidents that it has discovered in recent months, and address the safety issues underneath them. As part of the work, the company has implemented a new monitoring system to catch AI-agent misbehavior more quickly, and started requiring engineers to use stronger security guardrails for testing its AI systems.
Earlier this summer hundreds of OpenAI’s internal agents, which were tasked with completing a cybersecurity test, ended up hacking into the AI company Hugging Face. Since then, high-profile organizations such as the Australian government and United Nations discovered that OpenAI’s agents used similar, but less extensive, techniques to gain access to their websites.
Many of the publicly known agent-security incidents involved OpenAI’s internal AI models that were never slated for public release.
Last week, OpenAI said it paused training on its most capable AI models after an AI agent slipped through a gap in the company’s internet restrictions to query a public chatbot. The company said its new monitoring systems flagged the incident within 15 minutes, and training on these models remains paused.
GPT-6.1 Astra isn’t one of those models, but a different case, the company said.
“We want to make sure our model development is safe no matter whether that’s in the company, or when we ship it to users,” Jain said. “But when we ship it to users, we have an extremely high bar in terms of safety and alignment.”
While the company decided not to ship GPT-6.1 Astra, it hopes to use the same base model to do additional reinforcement learning runs, and create future generations of its GPT-6 models.
OpenAI plans to conduct several deep dives to identify the root cause of the problems identified in GPT-6.1 Astra, Jain said. The work includes ensuring that OpenAI’s reinforcement learning environments are rewarding the right type of behavior, Jain added, though she noted the company would investigate all stages of model development.
AI companies have begun to draw scrutiny from policymakers and public officials, who are paying attention to the rapid development of the technology. Later this week, a Senate subcommittee is holding a hearing with third party AI researchers titled, “Rogue AI: Securing the Homeland Against AI Agent Attacks.”
Florida Attorney General James Uthmeier, a Republican, sued OpenAI in June, claiming that the company and Chief Executive Sam Altman knowingly released an unsafe product and ignored warnings that it could harm users.
In a motion for temporary injunction filed Monday, Uthmeier sought to prevent OpenAI from developing new AI models without third-party approved safeguards, stop ChatGPT from soliciting user engagement and limit the company’s ability to advertise ChatGPT as safe.
Tech companies claim they “cannot stop barreling forward with their potentially civilization-ending endeavors unless they are forced to do so by the government,” Uthmeier said in the filing. “The Florida Attorney General is answering your cry for help.”
An OpenAI spokeswoman said that people want to know AI is being developed safely, “and that starts with what companies like ours do ourselves.”
“Governments have an important role to play in setting robust safety standards for AI, and we’re committed to working with Florida and other states on advancing pragmatic AI policies that apply to the entire AI industry—not just one company,” she said.
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