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Open released GPT-4.1 This morning, direct competitors are difficult Anthropical, Google and Xai.The reducing the coding and context handling abilities to reduce a million Tokken windows and aggressively cutting API prices, GPT-4.1, GPT-4.1 generative ai The model. If you are managing the budgets or craft code on a scale, this price can only make your quarter.
Performance updates in Costco prices
The new GPT-4.1 series is a significantly leash in a large number of versions, the rate of 54.6%, including 54.6% gaining rate in the SWE Bench coding benchmark. But the noise is not just better criteria. Real world tests by godo.ai GPT-4.1 in the actual GitHub’s inquiries, GPT-4.1, Anthropik’s Claode 3.7 Sonnet, primarily less fake positive and more accurate, relevant code offers, defeated 54.9% of work.
Openai’s new Price structure-And finally aiming for the convenience – finally, the run can put the libra for careful teams from EU expenses:
Model | Input cost (per mtok) | Exit cost (per mtok) |
GPT-4.1 | $ 2.00 | $ 8.00 |
GPT-4.1 mini | $ 0.40 | $ 1.60 |
GPT-4.1 NANO | $ 0.10 | $ 0.40 |
Will stop here? This generous 75% memory discount, encourages developers effectively – especially useful for iterative coding and negotiating agents.
Feel the heat
Anthropin’s KLUD models have set up the power and value by balancing the value. However, the bold prices of GPT-4.1 significantly reduce market position:
Model | Input cost (per mtok) | Exit cost (per mtok) |
Claude 3.7 Sonnet | $ 3.00 | $ 15.00 |
Claude 3.5 Haiku | $ 0.80 | $ 4.00 |
Close the 3rd job | $ 15.00 | $ 75.00 |
Anthropic still attractive cache discounts (up to 90% in some scenarios), but the position of GPT-4.1 base prices and developer-friendly selection, as a budget-friendly option option, is especially attractive for beginners and small teams.
Hidden financial traps
The developer of the twins is becoming increasingly notorious in developer circles. According to the twin twins of the twins – especially strong 2.5 pro variants Quickly becomes financial nightmares Double input and results for double entry and results: due to the results:
Model | Input cost (per mtok) | Exit cost (per mtok) |
Gemini 2.5 Pro ≤200K | $ 1.25 | $ 10.00 |
Gemini 2.5 Pro> 200k | $ 2.50 | $ 15.00 |
Twins 2.0 Flash | $ 0.10 | $ 0.40 |
Moreover, twins, quick shields, developers say harmful survey-harmful requests to the brave attacks to deny the wallet are not fully reduced by the Gemini’s current security. Predictable, surprise prices in GPT-4.1 appear as a strategic meter for the complexity of twins and hidden risks.
The context is the king
Xai’s Groc Series, which is champion by Elon Musk, recently introduced API prices for its latest models last week:
Model | Input cost per mtok | Output (per mtok) |
Groc-3 | $ 3.00 | $ 15.00 |
Groc-3 fast beta | $ 5.00 | $ 25.00 |
Groc-3 mini-fast | $ 0.60 | $ 4.00 |
A complex factor with a grock has been its context window. Musk, GROK 3 1 million token (similar to GPT-4.1 claim), but the current api actually reaches the maximum of 131k tokensFor a short period of time. This inconsistency has made some criticism from users in X pointing to the Marketing of the XAI a little.
Grok vs. This is prominent for assessing the assessment of GPT-4.1: GPT-4.1 offers a full 1M context, as advertised, whereas GROK may not be API (at least run). In terms of transparency, the model of the XAI is flat on paper, but the need for restrictions and more to pay more for « fast » service, a small player trying to compete with industry giants.
Windsurf GPT-4.1 is a great bet on the developer’s application
The Windsurf-AI-powered IDE-unpredictable thing demonstrating high confidence in the practical advantages of GPT-4.1 Free, unlimited GPT-4.1 is a week. This is not just generosity; This is a strategic gamble that saves the opportunities and expenses of GPT 4.1, and save expenses to return to pricier or less skilled models.
A new period of competitive AI price
Openai’s GPT-4.1 does not only shake the price game, it puts new standards for the AI development community. Domestic protection against foreign criteria, simple price transparency and running costs, with accurate, reliable speeches installed by GPT-4.1, GPT-4.1, the GPT-4.1 is a convincing work to be a standard choice.
Compilers themselves are not only for a cheaper AI, according to the domino effect, this price revolution can trigger an anthropic, Google and Xai scramble. For teams that have previously limited to the cost, complexity or both, GPT-4.1 can be a catalyst for a new wave of a strong innovation in AI.
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