Opeli surprised the technology industry for the second time this week, introducing its latest flagship GPT-5 model, just a few days after the release of two recent, freely available models under the Open Source license.
The president of Opeli, Altman himself, went so far that he called GPT-5 “the best model in the world.” It can be pride or hyperbola, because Maxwell Zeff from TechCrunch reports that the GPT-5 only barely exceeds other leading AI models from Anthropic, Google Deepmind and Xai on some key references, and is barely delayed at others.
Despite this, it is a model that works well for many different applications, especially coding. And, as Altman noted, one of the areas in which he undoubtedly competes well, is the price. “Very pleased with the prices that we can deliver!” He wrote on Twitter.
The API GPT-5 at the highest level costs $ 1.25 for 1 million input tokens and USD 10 for 1 million tokens for production (plus 0.125 USD for 1 million tokens for the cache). This price reflects Google’s Gemini 2.5 Pro Basic A subscription, which is also popular in coding tasks. Google, nonetheless, downloads more if the input/outputs exceed the high threshold of 200,000 hints, which suggests that his most abundant customers pay more.
But Opeli really undermines Claude Opus from Anthropica, which starts from USD 15 for 1 million input tokens and 75 USD for 1 million production tokens. (Anthropic, nonetheless, offers large discounts for fast buffering and batch processing – storage/re -use and processing of many requests.)
The Anthropiku model was extremely popular among programmers, each as a alternative in the popular cursor coding assistant and power supply for such an assistant, Claude Code. (Notice The cursor offered GPT-5 as an option A few minutes after the announcement.)
Developers who had early access to GPT-5 advertise prices. Simon Willison, one of the programmers Appeared in the premiere film OPENAIwrites in his review: “Prices are with other suppliers.” (Emphasizing his.)
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But GPT-5 is also valued at a competitive GPT-4O. Co -founder and general director of others, Matt Shumer (producer HIEPRRITE), I’m writing This GPT-5 “is cheaper than GPT-4O, which is fantastic. Intelligence on the dollar is constantly growing.”
Some on X called OpenAI fees for the model “price killer“While others are in hacking messages Offering similar praise.
Will competitors like anthropic? Will Google – who previously cut Opennai on prices – will change into much more accessible? If so, we can witness the starting of the expected price war LLM.
There is little question that the price war can be welcome. For example, the economic economy of coding coding providers is quite trembling because of the high and unpredictable fees that they have to pay model creators, as Marina Temkin from TechCrunch reports. Countless startups are built on AI models.
The Silicon Valley hopes that the price indicator for LLM performance will eventually improve, along with the costs of applying. However, it seemed that such equalization could possibly be in many years, because the technology industry invests lots of of billions in the construction of data centers and infrastructure to support the growing demand on AI.
Opeli himself has a 30 billion dollars contract a 12 months with Oracle to capability, when he has only recently achieved annual repetitive revenues of $ 10 billion. Meanwhile, the meta plans to spend as much as $ 72 billion on AI infrastructure in 2025, and Alphabet has put aside $ 85 billion for investment expenses in 2025, based on the needs of AI. In the face of such huge expenses, the costs often go one way: up.
Considering such investments, it could also be too early for the startups to look at their growing models of API accounts, which enjoy the lonely transition of OPENAI to lower prices.
However, this week, Opeli threw a glove to place pressure on prices not only once, but twice. We’ll see if others follow.
