OpenAI’s GPT 4.1 Breaking 1 Million Tokens Context Window!

# OpenAI Launches GPT-4.1: A Dev-Focused Model with Massive Context Window

OpenAI just released GPT-4.1, a new AI model targeting developers with an unprecedented 1 million token context window. As a business user, you might be wondering how this fits into the increasingly crowded AI landscape – let me break it down for you.

## What is GPT-4.1?

GPT-4.1 is a “non-reasoning” multimodal model, meaning it processes information more directly without the extra computational steps of more complex models. This makes it faster and cheaper than its predecessors while still handling text, images, and videos.

The model comes in three sizes:
– GPT-4.1 (standard version)
– GPT-4.1 Mini (smaller, more affordable)
– GPT-4.1 Nano (smallest, most cost-effective)

## Why the unusual naming?

Interestingly, OpenAI seems to be backtracking on version numbers after the recent GPT-4.5 release. This might indicate they overhyped previous versions and are now taking a more measured approach to setting expectations.

## Developer-focused, with limitations

Here’s the catch: GPT-4.1 is currently only available through the API, meaning even if you pay for the premium $20/month ChatGPT Plus subscription, you can’t access it through the chat interface. This reinforces its positioning as a developer tool rather than a consumer product.

## Performance highlights

The model excels at coding tasks:
– 55% on the Python-focused Software Engineering Benchmark Verified (best in OpenAI’s lineup)
– 53% on Eider’s polyglot benchmark for writing and editing code

It also demonstrates solid multimodal capabilities, scoring:
– 72% on MathVista (visual math problems)
– 75% on MMU (general visual problem solving)

## How the pricing stacks up

GPT-4.1 starts at $2 per million input tokens and $8 per million output tokens, making it OpenAI’s most affordable high-performance model to date. For comparison:

– GPT-4.1 Mini: $0