DEVOPSdigest

Developers are overwhelmingly embracing the largest general-purpose models, led by OpenAI's ChatGPT, which accounted for more than 86% of all LLM tokens processed by New Relic customers, according to AI Unwrapped: 2025 AI Impact Report from New Relic.

"AI is rapidly moving from innovation labs and pilot programs into the core of business operations," said New Relic Chief Technical Strategist Nic Benders. "The data from our 2025 AI Impact Report shows that while ChatGPT is the undisputed dominant model, developers are also moving at the 'speed of AI,' and rapidly testing the waters with the latest models as soon as they come out."

Developers Rapidly Shift to the Latest ChatGPT models

Enterprises are closely monitoring and adopting the latest innovations from OpenAI. The data shows ChatGPT-4o has been dominating more recently, followed by ChatGPT-4o mini.

However, adoption of ChatGPT from version-to-version is occurring seemingly overnight as developers pivot toward newer, better, faster, and cheaper models.

New Relic users have been rapidly shifting from ChatGPT-3.5 Turbo to ChatGPT-4.1 mini since it was announced in April. This shows that developers value cutting-edge performance and features more than savings.

Developers Start to Experiment with Unique AI Models Across Apps

In a countervailing trend, the findings also highlight increased model diversification as developers explore open-source alternatives, specialized domain solutions, and task-specific models, although at a smaller scale.

Meta's Llama emerged as the model that saw the second largest amount of LLM tokens processed by New Relic customers. In fact, New Relic saw a 92% increase in the number of unique models used across AI apps in the first quarter of 2025.

Python Dominates, but Java is Growing Quickly

With the most momentum, support, and tooling, the data shows Python continues to dominate AI applications, with customer adoption growing nearly 45% since last quarter. In terms of both the scale of requests and customer adoption, Node.js followed Python.

However, Java usage has grown rapidly at 34% since last quarter, signaling more production-grade, Java-based LLM applications are to come from large enterprises.

Methodology: The report is based on aggregated and de-identified usage data gathered from 85,000 active New Relic customers. All usage data was collected between April 30, 2024 and April 30, 2025.