OpenAI slashes prices for GPT-4.1, igniting AI price war among tech giants

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Openai GPT-4.1 has released this morning, as the anthropitis competitors challenge Google and Xai.By, which enhances coding and context in the window the huge amount of one million, and the API rates strongly, and the GPT-4.1 sets itself as the AI model. If you run budgets or the symbol of drafting on a large scale, this may make this price disposal this quarter.
Costco performance promotions
The new GPT-4.1 series features dangerous upgrades, including a 54.6 % victory rate on the SWE coding standard, which represents a big leap from previous versions. But the tinnitus is not only related to the best criteria. The real world tests by QODO.AI on the actual GPT-4.1 pulling requests that overcame Claude 3.7 Sonnet at 54.9 % of cases, primarily thanks to a fewer misconceptions and the most accurate and relevant suggestions ..
The new pricing structure of Openai – which aims to withstand costs openly – has finally prepared standards for cautious teams of fugitive artificial intelligence expenses:
model | The cost of inputs (for all mtok) | Directing cost (per mtok) |
GPT-4.1 | $ 2.00 | 8.00 dollars |
GPT-4.1 Mini | 0.40 dollars | $ 1.60 |
GPT-4.1 Nano | 0.10 dollars | 0.40 dollars |
The lead is here? This generous discount of 75 % temporary storage, which effectively stimulates developers to improve immediate re -use – especially useful for coding and repetition factors.
Feeling heat
Claude models were created in the human being by balancing strength and cost. But the bold pricing of GPT-4.1 is largely undermining the market situation:
model | The cost of inputs (for all mtok) | Directing cost (per mtok) |
Claude 3.7 Sonata | $ 3.00 | $ 15.00 |
Claude 3.5 Haiko | 0.80 dollars | 4.00 dollars |
Claude 3 OPUS | $ 15.00 | $ 75.00 |
Antarbur still provides convincing discounts for temporary storage (up to 90 % in some scenarios), but the primary pricing feature of GPT-4.1 and the improvements that focus on Openai developer as a budget-friendly option-especially attractive to startups and smaller teams.
Hidden securities
The complexity of the reputable Gemini has become increasingly bad in the developer’s circles. According to the gradual structure of the Program Shield’s Gemini – especially with the powerful 2.5 Pro alternative – it can quickly escalate to financial nightmares due to the additional fees for long inputs and outputs that doubled certain double context sills:
model | The cost of inputs (for all mtok) | Directing cost (per mtok) |
Gemini 2.5 Pro ≤ 200k | $ 1.25 | 10.00 dollars |
Gemini 2.5 Pro> 200k | $ 2.50 | $ 15.00 |
Gemini 2.0 Flash | 0.10 dollars | 0.40 dollars |
Moreover, Gemini lacks turning off automatic bills, which Sport Shield says to developers to developed developers of portfolio attacks-exciting requests designed to amplify your cloud bill, which does not completely reduce current Gemini guarantees. The unpredictable GPT-4.1 pricing seems to be an unexpected, a strategic meter for the complexity of Gemini and hidden risks.
The context is the king
The Xai’s Grok series, which Elon Musk has recently defended, unveiled the API prices for its latest models last week:
model | Input cost per mtok | Directing (for all mtok) |
Grok-3 | $ 3.00 | $ 15.00 |
Grok-3 fast beta | $ 5.00 | $ 25.00 |
Grok-3 Mini-Fast | $ 0.60 | 4.00 dollars |
One of the complex factors with GROK is the window of context. Musk described that Grok 3 can deal with a million symbols (similar to the GPT-4.1 claim), but the current application programming interface is actually located in 131 kilos, much less than this promise. This contradiction has sparked some criticism of users on X, pointing to a little excessive marketing on the side of Xai.
For developers who evaluate GROK against GPT-4.1, this is noticeable: GPT-4.1 offers full 1m context as announced, while the Grok Baraka interface may not (at least at launch). Regarding the transparency of pricing, the Xai model is clear and direct on paper, but the restrictions and the need to pay more for the “fast” service show the bodies of a smaller player trying to compete with the industry giants.
Windsurf Bets on the Call of the GPT-4.1 developer
This indicates high confidence in the practical advantages of the GPT-4.1, Windsurf-DE, which works of artificial intelligence-an unprecedented GPT-4.1 experience for a week. This is not just generosity. It is a strategic gambling once developers face GPT-4.1 capabilities and direct costs, return to permanent or less capable models will be a difficult sale.
A new era of competitive artificial intelligence
Openai’s GPT-4.1 not only shakes the pricing game, but it is likely to define new standards for the artificial intelligence development community. Through the accurate and reliable outputs that are verified through external standards, the transparency of simple pricing, and the combination of fugitive costs, the GPT-4.1 makes a convincing case as it is the default choice in closed models programming facades.
Developers must prepare themselves – not only for the cheapest artificial intelligence, but for the impact of domino this pricing revolution may lead to the fact that the anthropor, Google, and Xai, to keep up with. For the previously limited teams of cost, complexity, or both, GPT-4.1 may be a catalyst for a new wave of innovation that works in Amnesty International.
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2025-04-14 19:55:00