OpenAI and Anthropic Slash AI Model Costs by 50% as Price-Performance Race Intensifies
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OpenAI, Anthropic cut AI model costs as price-performance race intensifies
New GPT-6 and Claude Opus releases slash inference pricing, pushing enterprises to rethink AI deployment and infrastructure strategies endif; ?> Enterprises can now buy frontier AI for far less per token after OpenAI and Anthropic cut prices on their newest models on Tuesday. OpenAI released
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Anthropic and OpenAI roll out cheaper models in first release since call for slowdown
* Anthropic and OpenAI announced new, less costly artificial intelligence models, as both labs face stiff competition from open-weight competitors. * The releases are the first from either lab since fears erupted around AI's potential threat to humanity. * OpenAI introduced GPT-6 Sol and GPT-6
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AI labs are cutting model costs - and it could help them slow down safely
Why it matters: Top U.S. startups including OpenAI and Anthropic, as well as other AI players, have to develop a financially viable path to allow them to slow development. Otherwise financial incentives will be too powerful. Driving the news: The health of the entire U.S. economy now rests in part
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What AI slowdown? OpenAI, Anthropic release dueling models as price wars heat up | Fortune
Anthropic and OpenAI debuted more affordable versions of their frontier models as they battle for wallet share from increasingly cost-conscious businesses, and face growing competition from lower cost open weight models. The releases came within hours of each other, a sign of the labs' heated
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Cheap, powerful AI models are increasing usage, a bullish sign for the AI boom
As the prices of top models from OpenAI, Anthropic and others come down, usage is increasing dramatically, a trend that points to the kind of demand that will be necessary to justify trillions of dollars in spending. State of play: It's modelpalooza in the AI world this week, with OpenAI,
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OpenAI, Anthropic Bring New AI Models Amid Growing Open-Weight Competition
OpenAI and Anthropic announced more cost-efficient artificial intelligence models earlier this week. The move comes as demand for lower-cost AI services continues to grow. OpenAI launched GPT-6 Sol and GPT-6 Luna models, while Anthropic unveiled Claude Opus 5.5. OpenAI and Anthropic are facing
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AI's price war is moving up the capability curve: By Jonas Evrard
The latest model launches provide more evidence that powerful AI is becoming dramatically cheaper, lowering the hurdle for businesses to deploy it at scale. For all the attention given to which company has the smartest AI model, another contest might ultimately prove more important: who can make
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OpenAI's GPT-6 Just Got 50% Cheaper -- Box CEO Says AI Agent Opportunity Could 'Dramatically' Expand: 'Wha
Box Inc. (NYSE:BOX) CEO Aaron Levie said a decline in the cost of frontier AI models could significantly expand the number of tasks that companies can economically automate with AI agents. Frontier AI Gets Cheaper Levie said on social media platform X on Tuesday, "What an insane day in AI," as he
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Tech Firms Mark Down AI Products to Compete With OpenAI and Anthropic | PYMNTS.com
That's according to a report Tuesday (Sept. 22) by The Information, which said these markdowns are happening as customers are growing more selective about the AI tools they purchased after increasing spending on products like Anthropic's Claude Code and OpenAI's Codex and slashing other costs to
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Anthropic Mulls New AI Model Amid Investors' Pre-IPO Worries | PYMNTS.com
That's according to a Friday (Sept. 18) report by Reuters, citing three sources familiar with the matter. The report noted that a new AI model could offset the momentum OpenAI has enjoyed since debuting its GPT-Astra. Released earlier this month, GPT-6 Astra has gained momentum among business
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Anthropic Eyes New AI Model as Competition with OpenAI Intensifies
Anthropic is considering launching a new artificial intelligence model as it responds to growing competition from OpenAI. The potential release could come ahead of Anthropic's expected initial public offering (IPO). The company is assessing whether to bring a new model to market as OpenAI's
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Frontier AI Just Became a Price War
The competition is shifting from benchmark trophies to cost per completed task, where token efficiency, caching, and agent economics matter as much as raw capability. Takeaway * The competition is shifting from benchmark trophies to cost per completed task, where token efficiency, caching, and
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OpenAI launched GPT-6 Sol and Luna with 50% lower API pricing while Anthropic released Claude Opus 5.5 at 40% reduced costs. The simultaneous releases mark the first major model updates since both labs called for an AI slowdown, signaling an intensifying price-performance race that's reshaping enterprise AI adoption and challenging trillion-dollar valuations.
OpenAI and Anthropic Launch Cheaper AI Models
OpenAI and Anthropic simultaneously released new, more affordable artificial intelligence models on Tuesday, slashing prices by up to 50% as competition intensifies in the AI market
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. OpenAI introduced GPT-6 Sol and GPT-6 Luna with per-token costs half those of their GPT-5.6 predecessors, while Anthropic unveiled Claude Opus 5.5 with token prices 20% below Opus 51
. The releases represent the first major updates from either lab since industry leaders called for a coordinated AI slowdown amid growing safety concerns2
.OpenAI emphasized that "improvements in caching and inference let us serve these models at lower cost, and we're passing those savings directly on" to customers
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. Anthropic claimed Claude Opus 5.5 "performs at the level of Claude Fable 5.1 on most work and costs 40% less to run than Opus 5" when factoring in lower compute requirements and reduced token usage1
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Source: Benzinga
Price-Performance Race Replaces Capability Competition
The focus has shifted dramatically from raw performance to value for money. "Frontier AI is entering a prolonged price-performance race driven primarily by inference efficiency gains, better caching, and model optimization," said Forrester VP and principal analyst Charlie Dai
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. This marks a departure from earlier launches of flagship models like GPT-6 Astra and Claude Fable 5.1, where companies primarily touted capabilities rather than cost efficiency1
.Providers are lowering costs to "expand enterprise adoption and stimulate higher-volume production usage," particularly for workloads like coding agents and enterprise automation
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. Sanchit Vir Gogia, chief analyst at Greyhound Research, characterized the situation as "sustained price compression" rather than a conventional price war, calling it "a land grab for the default route through which enterprises buy intelligence"1
.Open-Weight Models Drive Competitive Pressure
Both labs face mounting pressure from cheaper, open-weight models, particularly from Chinese firms like Alibaba, Moonshot AI, and DeepSeek
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. DeepSeek's V4.1 Flash, released earlier this month, achieved number one on OpenRouter's leaderboard with a 172% spike in usage this week3
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. Elon Musk's xAI also released Grok 4.7 on Monday, pitching the model around price-performance, though its advantage was quickly eroded by Tuesday's announcements5
.Gartner senior director analyst Anushree Verma noted that "models are increasingly becoming commoditized," with enterprises beginning to view general-purpose models as interchangeable
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. Providers are "aggressively trying to grab market share," often supported by hyperscale infrastructure and capital, contributing to "a race to the bottom" for standard inference1
.Financial Paradox: Lower Prices, Higher Revenue
Despite aggressive cost reductions, emerging evidence suggests the strategy may increase overall revenue. Citadel Securities found that falling per-token costs are fueling enough additional usage to increase overall AI spending, meaning higher profits for labs even as they cut costs
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. This phenomenon aligns with Jevons Paradox, which holds that when technology brings down the cost of a resource, consumption increases5
.However, the AI price war raises questions about long-term profitability. "OpenAI and Anthropic are engaged in a price war that is driving down the price of AI and therefore driving down their ability to profit from it," said Ara Kharazian, lead economist at Ramp
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. The battle plays out on two fronts: rolling out cheaper AI models while announcing outright price cuts on expensive ones4
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Source: Axios
Cost-Conscious Businesses Demand Better ROI
Many cost-conscious businesses are tightening AI budgets and applying more scrutiny to return on investment. "CFOs have seen some of the sticker shock, and they haven't seen some of the gains that were promised in the initial investments," said Randall Hunt, CTO at AI consulting company Caylent
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. Companies are calculating "cost per task" rather than simply evaluating token pricing4
.Analysts emphasize that enterprises should evaluate cost per business outcome, not cost per token. "CIOs should evaluate cost per business outcome," Dai said, pointing to factors like reliability, latency, and task completion rates
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. Gogia added that "the only defensible measure is total cost per accepted, policy-compliant outcome"1
.Related Stories
Hybrid AI Deployments Remain Viable
While lower API costs improve cloud consumption economics, particularly for coding agents and enterprise automation, demand for private and hybrid AI deployments persists
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. Enterprises cite data sovereignty, security, and intellectual property requirements as drivers for maintaining "optionality through hybrid architectures and selective infrastructure ownership," according to Dai1
. Organizations evaluating on-premises deployments need to assess utilization levels, data requirements, and operational constraints as usage-based costs decline1
.AI Slowdown Meets Market Reality
The releases mark the first major updates since Anthropic CEO Dario Amodei called for an industry-wide AI slowdown in mid-September, which OpenAI CEO Sam Altman publicly supported
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. The call came after former Anthropic researcher Jacob Coxon quit in September, warning that both labs were "gambling with our lives"2
. Anthropic acknowledged that Opus 5.5 underwent its most rigorous alignment testing to date and was evaluated by outside groups4
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Source: Axios
To enable an AI slowdown in a financial sense, companies must build value propositions beyond "the most mind-blowing intelligence imaginable," since remaining at the frontier requires "mind-boggling spending" on computing firepower for training new models
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. The race to win on AI model costs could paradoxically enable the slowdown leaders are seeking by establishing financial sustainability without constant capability escalation3
. Watch for continued price compression, shifting market dynamics toward efficiency over raw capability, and whether hyperscalers pivot toward higher-value services like orchestration and governance as pricing pressure increases on raw compute1
.References
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