AIChatGPTOpenAI

OpenAI is ending API access to fan-favorite GPT-4o model in February 2026

•3 min read•12 views

OpenAI has sent out emails notifying API customers that its chatgpt-4o-latest model will be retired from the developer platform in mid-February 2026,. Access to the model is scheduled to end on February 16, 2026, creating a roughly three-month transition period for remaining applications still built on GPT-4o.

Share:

Overview

OpenAI has sent out emails notifying API customers that its chatgpt-4o-latest model will be retired from the developer platform in mid-February 2026,. Access to the model is scheduled to end on February 16, 2026, creating a roughly three-month transition period for remaining applications still built on GPT-4o. An OpenAI spokesperson emphasized that this timeline applies only to the API. OpenAI has not announced any schedule for removing GPT-4o from ChatGPT, where it remains an option for indiv

Key Insights

The artificial intelligence landscape continues to evolve at a rapid pace, bringing new opportunities and challenges for businesses and consumers alike.

Industry Impact

These developments have significant implications for various industries, from healthcare and finance to transportation and entertainment.

Future Implications

As AI technology advances, we can expect to see continued innovation and transformation across multiple sectors.

Conclusion

The ongoing evolution of AI technology promises to reshape how we work, live, and interact with technology in the years to come.

TOPICS:

AIChatGPTOpenAITechnologyInnovation

Related Articles

AI

Anthropic says it solved the long-running AI agent problem with a new multi-session Claude SDK

Agent memory remains a problem that enterprises want to fix, as agents forget some instructions or conversations the longer they run.  Anthropic believes it has solved this issue for its Claude Agent SDK, developing a two-fold solution that allows an agent to work across different context windows.

AI

Beyond math and coding: New RL framework helps train LLM agents for complex, real-world tasks

Researchers at the University of Science and Technology of China have developed a new reinforcement learning (RL) framework that helps train large language models (LLMs) for complex agentic tasks beyond well-defined problems such as math and coding.  Their framework, Agent-R1, is compatible with popular RL algorithms and shows considerable improvement on reasoning tasks that require multiple retrieval stages and multi-turn interactions with tools.

AI

What to be thankful for in AI in 2025

Happy belated Thanksgiving and Black Friday! This year has felt like living inside a permanent DevDay. Every week, some lab drops a new model, a new agent framework, or a new “this changes everything” demo.

AI

The Download: the mysteries surrounding weight-loss drugs, and the economic effects of AI

This is today’s edition of The Download, our weekday newsletter that provides a daily dose of what’s going on in the world of technology. What we still don’t know about weight-loss drugs Weight-loss drugs have been back in the news this week.

AI

How background AI builds operational resilience & visible ROI

If you asked most enterprise leaders which AI tools are delivering ROI, many would point to front-end chatbots or customer support automation. That’s the wrong door.

AI

What we still don’t know about weight-loss drugs

Weight-loss drugs have been back in the news this week. First, we heard that Eli Lilly, the company behind the drugs Mounjaro and Zepbound, became the first healthcare company in the world to achieve a trillion-dollar valuation.

AI

Prompt Security's Itamar Golan on why generative AI security requires building a category, not a feature

VentureBeat recently sat down (virtually) with Itamar Golan, co-founder and CEO of Prompt Security, to chat through the GenAI security challenges organizations of all sizes face. We talked about shadow AI sprawl, the strategic decisions that led Golan to pursue building a market-leading platform versus competing on features, and a real-world incident that crystallized why protecting AI applications isn't optional anymore.

AI

SAP outlines new approach to European AI and cloud sovereignty

SAP is moving its sovereignty plans forward with EU AI Cloud, a setup meant to bring its past efforts under one approach. The goal is simple: give organisations in Europe more choice and more control over how they run AI and cloud services.

Comments

Leave a Comment

Loading comments...