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Yesterday's news alert, nevertheless: The verdict is in. GPT-4.1-Mini in particular is an excellent practical model, offering strong performance at a good price. The full GPT-4.1 is an upgrade to OpenAI's more expensive API offerings, it is modestly better but costs 5x as much. Both are worth considering for coding and various other API uses. If you have an agent or other app, it's at least worth trying plugging these in and seeing how they do.

This post does not cover OpenAI's new reasoning models. That was today's announcement, which will be covered in full in a few days, once we know more.

Introducing GPT-4.1, 4.1-mini and 4.1-nano

That's right, 4.1.

Here is their livestream, in case you aren’t like me and want to watch it.

On the one hand, I love that they might finally use a real version number with 4.1.

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Outline:

(00:51) Introducing GPT-4.1, 4.1-mini and 4.1-nano

(03:59) On Your Marks

(06:41) Other Benchmarks

(13:55) Reactions

(17:55) Justice for GPT-4.5

(19:28) Safety Third

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First published:

April 16th, 2025


Source:

https://www.lesswrong.com/posts/t5dMAHrmdXqNaNB6v/gpt-4-1-is-a-mini-upgrade

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Narrated by TYPE III AUDIO.

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Images from the article:

A graph showing GPT-4.1 family models' intelligence versus latency measurements.
Graph comparing MATH Level 5 accuracy across different AI language models.
Graph showing GPT-4.1 variants' retrieval accuracy across different input token lengths.
Bar graph
Bar graph:
Pricing table showing costs for three GPT-4.1 model variants per million tokens.
Bar graph showing
Bar graph:
Bar graph titled
Graph:
Bar graph comparing GPT model accuracy scores, titled

(The graph shows evaluation scores for different GPT variants including GPT-4.1, GPT-4o, OpenAI o1, o3-mini, and GPT-4.5, along with their mini/nano versions.)" style="max-width: 100%;" />


Eight bar charts comparing AI model performance across different intelligence evaluations:<br />
Bar graph titled

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