OpenAI brings GPT-4.1 and 4.1 mini to ChatGPT — what enterprises should know

Openai makes Rolling GPT-4.1The most common large language model (LLM) balances CHATGPT users, with low cost of low performance. The company begins with paid subscribers with the entrance to Chatgpt Plus Plus, Pro and the team in the coming weeks of the coming weeks.

GPT-4o mini replaces the GPT-4o mini, including GPT-4O mini, including free levels of GPT-4O mini, a standard for all Chatgpt users. The “mini” version provides a smaller scale parameter and thus a less powerful version with similar security standards.

Models are both O4-Mini and O4-Mini-High, GPT-4.1, GPT-4.1, GPT-4.1, giving the convenience of the “more models”, but also via the convenience of users.

Initially, it was designed for use only by third party program and AI developers, open user interface (API), GPT-4.1 was added to ChatGPT after stronger user feedback.

Openai Post Training Study Michelle Pokrass The turns approved in the X were governed by the queue requirement, “First, we planned to keep this model API only in a way, but you wanted it to Chatgpt 🙂 Happy coding!”

Openai Chief Product Officer Kevin Weil Sent x “We set up this for developers, so it is very good in coding and instructions, try after watching!”

An enterprise-oriented model

GPT-4.1 is made from the ground for enterprise-class practicality.

Beginned in April 2025 with GPT-4.1 Mini and NanoThis model is the need for the needs of the family priority development and the use of production.

GPT-4.1, SWE-DENCH approved software engineering Benchmark is a 10.5-point earnings on GPT-4O improvement and scale Multlightenge Benchmark instructions. In addition, 50% relative to other models, 50% decreases compared to retired enterprise users during early testing.

Context, speed and model access

GPT-4.1 supports standard context windows for Chatgpt

According to the developer Angel Bogado In the X, these restrictions are in line with those used by those used by CHATGPT models, although plans continue to further increase the context size.

Although the API versions of GPT-4.1 can process up to one million token, this expanded capacity is still in secret support, this expanded capacity is not yet available.

This extended context capability is useful for API users to review all codes or major legal and financial documents or to analyze large access documents.

Openai has acknowledged some performance disorders with extremely large entries, but the enterprise offers a solid performance until a few hundred thousand Tokens.

Evaluation and security

Openai also launched a Security Assessments Center Website to allow users to access the main performance dimensions between models.

GPT-4.1 shows firm results in these assessments. In fact, Simplega Benchmark in accuracy tests 0.40 and 0.63 in 0.63.

In addition, 0.99 and more difficult instructions in Openai’s standard rejection tests were hit in 0.99 and more difficult instructions.

However, Strongreject jailbreak test – 0.23 behind models like GPT-4O-Mini and O3, an academic criterion for security.

He said that under a typical use, it is 0.96 by the Jailbreak certificate, which shows the safety of a healthier real real world.

Instructions, compliance with GPT-4.1, the system is followed by a certain IPenari’s definite hierarchy (system developer, developer, user messages) with an account of 0.71 to resolve the system message disputes. It also works well in protecting protected phrases and prevent solutions in tutoring scenarios.

GPT-4.1 Contextualization against transactions

The free release of GPT-4.1 comes from AFTEReviewing around R GPT-4.5this Debuted in February 2025 As a review review. This model fell into low-controlled learning, richer knowledge base and reduced hallucinations, reduced to 61.8% in GPT-4O. It also demonstrated progress in written in writing in the emotional nuance and in a long way, but many users found thinners.

Despite these gains, GPT-4.5 criticized the high price on a high price – Tokens, which are up to $ 180 per million in morn and coding criteria, were up to one million to 180 dollars. Industry figures noted that although GPT-4.5 is stronger in general conversations and generations of content, this developer is applied in specific applications.

On the contrary, GPT-4.1 is faster, intended as a more careful alternative. While GPT-4.5 is not a wide range of knowledge and extensive emotional modeling, practical coding is better adjusted for the help of practical coding and keeps the user instructions more reliable.

In Openai’s API, GPT-4.1 is currently valuable In a million dollars of $ 2.00, $ 1 million, $ 0.50, one million priest signs and $ 8.00 out of one million.

GPT-4.1 mini for balancing seekers in a lower price is rapidly and in intelligence in a million access versions of $ 0.40, one million, one million in introductory signs and $ 0.40 for a million dollars

Flash-Lite and flash models of Google $ 0.075-105-105-10 – 0.30-130-10-10-10-130- $ 0.40 – $ 0.40 to $ 0.40 – $ 0.40-130 – $ 0.40-130 – $ 0.40-130 – $ 0.40-130.

However, while looking at a higher price of GPT-4.1, a more powerful program offers a more accurate instructions that can be critical for engineering bids and expensive enterprise placement scenarios. As a result, Openai’s GPT-4.1 gives a prize-winning experience for accurate and development performance, Google’s Gemini models apply to precious institutions in need of flexible model stairs and multimodal opportunities.

What does the enterprise mean for decision makers

GPT-4.1 brings special advantages to enterprise teams managing the application, LLM placement, orchestra and data operations:

• AI engineers control LLM placement It can expect improved speed and instruction. Full LLM LLM LLM LLM LLM LLM LLM LLM LLM LLM LLM LLM LLM LLM LLM LLM LLM LLM LLM LLM LLM LLM LLM LLM LLM from the governing. Especially suitable for lean teams under pressure to include high-performed models quickly playing highly played models quickly without losing the security.
• The EU orchestra leads Most users of GPT-4.1, aimed at a scalp-capable pipeline design, make sure the strength of the firmness of the induced failures and the strong performance in the message hierarchy tests. This makes it easier to integrate into orchestra systems that prioritize the support of the model and the validity of the operation.
• Information engineers Protection of high data quality and integration of new tools will benefit from the sub-hallucination rate and higher actual accuracy of GPT-4.1. Although team resources are restricted, the more predictable output behavior behavior.
• IT security experts Devops Pipelines that placed safety along the pipelines can resist the general jailbreaks of GPT-4.1 and its manageable exit behavior. When the academician jailbreak resistance is putting in the room to improve the score, high performance of the model against the human exploits contributes to secure integration into internal means.

It is an attractive choice for medium-sized enterprises to balance the performance with operation requirements, as an optimized model for clarity, compliance and placement effectiveness of GPT 4.1.

A new step forward

GPT-4.5, a scale stage in the model development, represented beneficial centers in GPT-4.1. It is not the most expensive or most multimodal, but it gives meaningful profits in areas important for enterprises: accuracy, placement efficiency and cost.

This accommodation reflects a wider industrial trend than the largest models and a more accessible and adaptation of any value and skilled models. GPT-4.1 Needs a flexible, manufacturing-ready tool for teams trying to turn on the skin more in the operations of AI.

Openai continues to develop model proposals, GPT-4.1 is a leading step towards the advanced AI for enterprise environments. The ability for decision-makers, the ability to handle ROI, provides a clearer way to place performance or security without sacrificing.