Jones and Clark help Team Spoon beat Team Coop 129-122 in the WNBA All-Star Game

CHICAGO (AP) — Jonquel Jones, Nneka Ogwumike and Dominique Malonga made WNBA history on Saturday night.

It was quite the All-Star party in the league's 30th season.

Jones had 22 points, 13 rebounds and eight assists, helping Caitlin Clark and Team Spoon outlast Marina Mabrey and Team Coop 129-122 in the WNBA All-Star Game.

Playing with a heavy heart after the death of an aunt, Jones was named MVP. The 32-year-old New York Liberty center became the first player to win the league, WNBA Finals, Commissioner's Cup and All-Star MVP awards.

“No matter what mood I'm in, basketball can pick me back up,” Jones said, “and so just leaning into that.”

Malonga had a first-half dunk for Team Coop, but Team Spoon had eight players score in double figures in an All-Star Game that featured 127 3-point attempts and very little defense. Allisha Gray had 19 points for Team Spoon, and Clark finished with 17.

It was the first WNBA All-Star Game in Chicago since 2022. This time, the marquee event was played in front of a record crowd of 19,783 at the United Center instead of the smaller Wintrust Arena in downtown Chicago.

“To be able to have tonight, have 19,000 people in the highest attendance ever in the All-Star Game just really shows that our league is growing and people want to be around us and want to be a part of this and understand how special it is,” Jones said.

Ogwumike scored 11 points for Team Spoon while passing Maya Moore (119) for the most career points in All-Star Game history.

Kelsey Mitchell had 28 points for Team Coop, and Mabrey scored all of her 23 points during a red-hot first half. The 20-year-old Malonga finished with 12 points and 13 rebounds.

“I got to see a few go down early,” said Mabrey, who matched the WNBA scoring record when she had 53 points for Toronto in a win over Los Angeles on June 25. “That's kind of like my thing. Get them up when they're going in.”

WNBA greats Cynthia Cooper and Teresa Weatherspoon drafted the All-Star teams from players that were either voted as starters by fans, media and fellow players or chosen as reserves by the league’s coaches. Las Vegas’ Becky Hammon coached Cooper’s team, and Minnesota’s Cheryl Reeve was in charge of Weatherspoon’s squad.

Clark went 5 for 15 from beyond the arc and had five assists in her return to the All-Star game. The Indiana Fever guard missed last year’s event in Indianapolis because of a groin injury.

“Last year really stunk being in our home city, you never want to miss that for the fans," Clark said. "I love to show up and compete.”

The 24-year-old Clark came out firing, connecting from 33 feet and 37 feet on her way to 11 points in the first 2 1/2 minutes. She buried another 3 early in the second quarter off a slick no-look pass from Minnesota Lynx guard Olivia Miles, the only rookie selected for the game.

Clark and Mabrey each put on an offensive show, but Malonga got the biggest cheer of the night. The 6-foot-6 center from the Seattle Storm ran down the lane, got a pass from Angel Reese and threw down a right-handed jam with 6:24 left in the first half.

Reese jumped up and down as Malonga finished the play, and the two exchanged a mid-air chest bump on their way back down the court.

“The way she makes it look easy, the excitement around it," said Paige Bueckers, who scored 12 points for Team Coop. "I love Dom ... really happy for her in just how easy she makes it look.”

It was the first dunk in a WNBA All-Star Game since Sylvia Fowles in 2022. Lisa Leslie (2005), Jones (2017), Brittney Griner (2019) also have accomplished the feat.

Leslie was on hand for the festivities, along with South Carolina coach and former WNBA guard Dawn Staley. Former NBA star Dwyane Wade also was courtside.

AP WNBA: https://apnews.com/hub/wnba-basketball

Team Spoon's Nneka Ogwumike, front, looks to pass the ball against Team Coop's Kahleah Copper, top, during the first half of a WNBA All-Star basketball game in Chicago, Saturday, July 25, 2026. (AP Photo/Nam Y. Huh)

Team Spoon's Jonquel Jones smiles as she holds up the MVP trophy after Team Spoon defeated Team Cooper in a WNBA All-Star basketball game in Chicago, Saturday, July 25, 2026. (AP Photo/Nam Y. Huh)

Team Spoon's Caitlin Clark, right, celebrates with Courtney Williams (10) after their team defeated Team Coop in a WNBA All-Star basketball game in Chicago, Saturday, July 25, 2026. (AP Photo/Nam Y. Huh)

Team Coop's Gabby Williams, right, celebrates with Paige Bueckers after she scored a three-point basket during the first half of a WNBA All-Star basketball game against Team Spoon in Chicago, Saturday, July 25, 2026. (AP Photo/Nam Y. Huh)

Team Spoon's A'Ja Wilson, center, goes up to shoot against Team Coop's Breanna Stewart (30) during the first half of a WNBA All-Star basketball game in Chicago, Saturday, July 25, 2026. (AP Photo/Nam Y. Huh)

Left to right; Team Spoon's Caitlin Clark, Aliyah Boston, A'Ja Wilson, Olivia Miles and Jessica Shepard greet fans before a WNBA All-Star basketball game against Team Coop in Chicago, Saturday, July 25, 2026. (AP Photo/Nam Y. Huh)

HONG KONG (AP) — China has a hot new product in the United States: artificial intelligence.

San Francisco-based Raffi Krikorian, the chief technology officer at Mozilla, which runs the Firefox browser, switched to Chinese AI startup Moonshot’s Kimi K3 for many of his day-to-day activities within days of the new, powerful model’s launch more than a week ago.

“It just seems snappier,” he said of K3, comparing it to the acclaimed and more expensive Claude Fable chatbot from San Francisco company Anthropic. Earlier, he had been using another high-performing Chinese model, Z.ai's GLM-5.2, for routine tasks such as managing his calendar, documents and email.

Krikorian is one of a growing number of Americans adopting Chinese AI systems, which are gaining ground around the world because they are more affordable and increasingly efficient. U.S. companies like cryptocurrency exchange Coinbase said they're switching to Chinese AI models to help trim costs.

Their popularity has frustrated some U.S. tech giants, but short of an outright ban, they're likely to continue to appeal to independent software developers in the U.S. and elsewhere.

American-led restrictions block China from accessing some of the world’s most advanced technologies including cutting-edge AI chips and U.S. Treasury Secretary Scott Bessent has warned more sanctions could be coming to protect American intellectual property.

U.S. President Donald Trump's administration on Wednesday accused Moonshot of using “covert” but not necessarily illegal methods to build K3 off the back of Anthropic's Fable. Some U.S. politicians and AI companies including Anthropic have accused Chinese startups of illicit “distillation” of their models to extract their technologies, a claim that Beijing rejects as “groundless.”

The rapid rise of cutting-edge Chinese AI models this year shows the China-U.S. race in AI has moved on from early last year, when Chinese startup DeepSeek shook up the U.S. technology industry and put China on the map with an AI model that performed on par with those in the U.S. but much more cheaply.

The latest AI models launched by startups Z.ai, or Zhipu, in June, and Moonshot in July are nearly as intelligent as the frontier models from OpenAI and Anthropic, experts say. Also in July, China’s Alibaba previewed its Qwen3.8 Max AI model. In April, DeepSeek rolled out previews of its latest V4 model, challenging OpenAI’s GPT and Google’s Gemini.

Those constant advances are bearing fruit. Curt Meinhold, a Greensboro, North Carolina-based technology executive, said he increasingly prefers to use DeepSeek for tasks such as finding business leads or ways to generate sales.

“At the end of the day, most of us, the vast majority of us, 90 plus percent, don’t need (Anthropic's) Mythos or Fable,” said Meinhold, who founded digital legacy platform LilyList. “Like, we just don’t need it, we need something good enough.”

Chinese AI models are reaching a “critical stage” for wide adoption, U.S. investment bank Goldman Sachs wrote in a July research report, especially when a surge of global “agentic” AI usage, which requires the AI models to autonomously conduct multistep, complex tasks, is driving higher demand for cost effective AI models.

AI prices are calculated per million tokens for both input and output, so the use of AI “agents” is dramatically compounding cost differences, according to analysts including Alex Colville of the Australian Strategic Policy Institute.

“The Chinese models, you know, I find them to be pretty close on code and research,” said Meinhold. “If I can pay a handful of cents per million output tokens versus 30 bucks or 40 bucks or 50 bucks, then it’s good enough.”

Based on data over the past month, the top five most popular models on OpenRouter, a platform that tracks data across AI models, were Chinese.

Estimates from Sensor Tower, a market intelligence firm, showed Kimi had more than 930,000 downloads during the week after K3's July release, an increase of 200% from the week before. In the U.S. it was downloaded around 86,000 times, a 387% jump.

K3 proved so popular that Moonshot had to temporarily suspend new subscriptions after overwhelming demand pushed its capacity close to its limits.

Still, while Chinese models are becoming serious competitors to the U.S., they lag American AI leaders across their overall, full-range capabilities, said Anastasios Angelopoulos, co-founder and CEO of Arena, a platform for evaluating AI systems.

And U.S. AI firms are also looking for more options to reduce pricing, such as with cheaper alternatives of competitive models, added Yasir Atalan, with the Center for Strategic and International Studies.

Most Chinese AI models are open-source — meaning anyone can examine and build on them — at a time when frontier models from U.S. companies like Anthropic and OpenAI are closed-source.

Chinese model vendors are expected to leverage open-source software to promote their global usage and adoption, said Lian Jye Su, of the technology research and advisory group Omdia.

As Chinese open-source models are increasingly almost as good as closed systems made by leading U.S. companies, said Mozilla’s Krikorian, “the open frontier is becoming increasingly Chinese-built.” While the U.S. weighs restricting Chinese AI models, a group of American tech firms including Microsoft, Meta and Nvidia signed an open letter published Friday backing “open” AI models.

Other U.S. tech policies also at times give China an upper hand, some experts say. China’s Z.ai released its GLM-5.2 model in mid-June, not long after the Trump administration put export controls on Anthropic’s Fable and Mythos models, keeping them offline for more than two weeks.

"Restricting an American model can immediately create an opening for a Chinese competitor,” said Arena's Angelopoulos.

In China, people and businesses have rapidly embraced AI technologies that have prospered with state support. Chinese tech companies like Huawei and Tencent are also embedding AI in devices such as smartphones, AI glasses and humanoid robots.

Now China is increasingly looking to dominate AI abroad, too. At a flagship technology summit in Shanghai, Chinese President Xi Jinping championed open-source AI models and the importance of promoting greater global equity, while pledging Chinese involvement in raising AI capabilities especially in developing nations.

As is true for many other industries in China, intense competition at home is driving companies to expand globally. Leading Chinese AI startups are now raising more funding to support that effort, including through public share offerings.

Both China and the U.S. will want to “encourage widespread adoption of their AI ecosystems, while safeguarding technologies that could materially strengthen strategic rivals,” said Chelsey Tam, with investment research firm Morningstar.

“The competition is no longer simply the United States against China; the Chinese labs are also putting a lot of pressure on one another,” Angelopoulos said.

But as is the case in the U.S., huge investments in AI have also raised concerns over sustainability of these Chinese startups. Z.ai, for example, reported its revenue surged 132% to 724 million yuan ($107 million) last year, but net loss jumped 60% to 4.7 billion yuan ($694 million).

For now, Chinese AI models will likely continue to march ahead including in the U.S. “I would highly recommend anyone doing any serious AI load to at least evaluate it,” said Krikorian.

O’Brien reported from Providence, Rhode Island. AP Business Writer Kelvin Chan in Toronto contributed to this report.

Visitors at the booth for Baidu's AI Agent Dumate during the World AI Conference in Shanghai, China on July 17, 2026. (AP Photo/Ng Han Guan)

A visitor stands near a poster for the World AI Conference in Shanghai, China on July 17, 2026. (AP Photo/Ng Han Guan)

Chiense President Xi Jinping speaks during a meeting on global AI governance held on the sidelines of the World AI Conference in Shanghai, China on July 17, 2026. (AP Photo/Ng Han Guan)

A worker stands at the booth for Chinese AI Startup Moonshot's Kimi K3 during the World AI Conference in Shanghai, China on July 17, 2026. (AP Photo/Ng Han Guan)

Visitors at the booth for Chinese AI Startup Moonshot's Kimi K3 during the World AI Conference in Shanghai, China on July 17, 2026. (AP Photo/Ng Han Guan)