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GPT-4.1

Model ● Covered in 16 stories Compare ⇄ + Follow

GPT-4.1 is an OpenAI language model that has been widely integrated into enterprise and consumer applications across multiple industries. Recent deployments include use in banking customer service, language learning tutoring, video generation, tax research, accounting automation, and educational platforms, often functioning as part of larger multi-model systems where it competes on cost and performance with other models like Claude Sonnet and GPT-5 variants. OpenAI announced the model will be retired from ChatGPT on February 13, 2026, though API access will remain available.

Updated 3 August 2026

Specifications

No specifications recorded yet.

Latest developments

KAME: Tandem Architecture for Enhancing Knowledge in Real-Time Speech-to-Speech Conversational AI Sakana AI · 7

Model Routing Is Simple. Until It Isn’t. Hugging Face Blog · 2 weeks ago · 15

Gradient Labs gives every bank customer an AI account manager OpenAI Blog · 4 months ago · 29

Retiring GPT-4o, GPT-4.1, GPT-4.1 mini, and OpenAI o4-mini in ChatGPT OpenAI Blog · 6 months ago · 18

Inside Praktika's conversational approach to language learning OpenAI Blog · 6 months ago · 17

How Higgsfield turns simple ideas into cinematic social videos OpenAI Blog · 6 months ago · 24

Netomi’s lessons for scaling agentic systems into the enterprise OpenAI Blog · 6 months ago · 38

SchoolAI builds an AI platform that empowers teachers OpenAI Blog · 10 months ago · 5

Timeline

Month Quarter Year

July 2026

April 2026

1 Apr Gradient Labs gives every bank customer an AI account manager

January 2026

September 2025

22 Sep SchoolAI builds an AI platform that empowers teachers

August 2025

July 2025

June 2025

24 Jun Driving scalable growth with OpenAI o3, GPT-4.1, and CUA

May 2025

22 May Shipping code faster with o3, o4-mini, and GPT-4.1

April 2025

14 Apr Introducing GPT-4.1 in the API

Relationships

Products & technology

OpenAI develops this model · 14 sources
Basis integrated with this model · 1 source
Blue J integrated with this model · 1 source
SchoolAI integrated with this model · 1 source
Netomi integrated with this model · 1 source
Higgsfield integrated with this model · 1 source
Praktika integrated with this model · 1 source
Gradient Labs deploys this model · 1 source
KAME integrated with this model · 1 source
CodeRabbit integrated with this model · 1 source
Unify integrated with this model · 1 source
Genspark integrated with this model · 1 source

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TLDRocket 3 August 2026

The story of AI in August 2026 is one of consolidation meeting enforcement. Alibaba's Qwen3.8-Max, a 2.4-trillion-parameter mixture-of-experts model with a million-token context window, arrives as a direct challenge to OpenAI and Anthropic's frontier offerings—priced at $2 per million input tokens, it's positioning itself as the capable-and-cheaper alternative that China's AI push has long promised. But the more consequential development is structural: enterprises are finally getting the plumbing to actually deploy these models. June, backed by Salesforce's Marc Benioff, raised $20 million to automate AI integration into legacy systems, scanning corporate infrastructure and generating deployment workflows without expensive consultant fees. This solves what's become clear as the real bottleneck—not model capability, but implementation friction in messy, heterogeneous corporate environments.

Read the full briefing →