GPT-4.5-preview model will be removed from the API on 2025-07-14

https://platform.openai.com/docs/deprecations

On April 14th, 2025, we notified developers that the gpt-4.5-preview model is deprecated and will be removed from the API in the coming months.

Shutdown date Model / system Recommended replacement
2025-07-14 gpt-4.5-preview gpt-4.1
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It’ll be sad to see it go, but I understand, it’s very expensive, I’m hesitant to continue using it myself due to the costs and my huge computations I need to run. This is not easy I’m sure, balancing power with efficiency is non-trivial.

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In my benchmarks 4.1 is better than 4o which is great for most applications, but far from 4.5-preview. I guess size matters

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Booooooooooooooooooooo

(User expresses dismay at the news and wishes to protest the change)

Can’t you just, like, double the price? If you do smart deployments and smart scaling, it should cost next to nothing in terms of overhead to have a couple of machines hold it on standby while they run 4.1 or what have you.

Is it going away on azure too? I haven’t checked yet.

2 Likes

You may visit @Diet

Azure OpenAI Service model retirements - Azure OpenAI | Microsoft Learn

Rather, it will be a self-solving problem at the end of the month, when OpenAI stops giving out $75 of free tokens a day to gather our prompts and good outputs sent to the model.

The only model that could follow deliberately-constructed instructions to turn ChatGPT-style output into forum’s MathJax LaTeX instead of just repeating it back.

1 Like

Yep, may 26th. Dead and gone.

Why are we going backward?

Whyyyyy :cry:

I don’t need “better” coding, I need better zero shot understanding :frowning:

And if 4.5 really was the last big model, then OpenAI really has peaked and is only going downhill from here.

1 Like

I’m sad to see this model go. To me, this is a case where existing benchmarks don’t fully capture the true capabilities of this achievement.

Perhaps it’s because grading outputs for specific use cases—like understanding intent—requires real humans rather than relying solely on an LLM or automated scripts?

If GPT-5 includes a router model to forward user queries to the appropriate specialized models, this would be the only model worth considering as the router. But I digress…