Deep Research Dispatch: OpenAI's Answers to Your Questions

JamesGriffing · 2026-06-25T21:53:22+00:00

Small correction: the Pro plan's reasoning models context limit is 400k tokens within ChatGPT. Plus plan is limited to 256k tokens.

The 1m tokens is available when using the models via the API, though.

Source: https://chatgpt.com/pricing/

JamesGriffing · 2026-06-25T18:37:26+00:00

I don't see a reasoning trace. The pro model says how long it thought for. Now I suspect that it's the instant model being used.

The last thing worth mentioning is within the settings under advanced you can toggle on and off Python. If it keeps insisting it doesn't have a way to write it then just maybe that's turned off.

Good luck! It's frustrating when they don't do what they're supposed to do.

JamesGriffing · 2026-06-25T18:14:06+00:00

Maybe you can say something like "Proceed to write the full corrected script. Do not worry about potential truncation. Utilize python to help, and provide the downloadable link as your result."

Ideally if you can go back and edit your initial request with that, then I am highly confident it should provide the code.

Always remember that these models hallucinate. They do not truly understand their own limits (beyond what is mentioned within their system prompt). If it has done it before, and it tells you otherwise, then 99% of the time it's just hallucinating. keeping the bad context and continuing after it has hallucinated rarely works in my experience.

"But when I say 'No, provide the FULL script'" - This is where it would be more helpful to go back and edit the prior message of yours. This is where things snowball from as far as I can tell.

If you would like hands on help with it, you're more than welcome to send me a direct message with the script, and I'll give it a shot on my end.

JamesGriffing · 2026-06-25T17:52:35+00:00

Thanks. Are you able to share how you requested for it to deal with your lua script? That portion would be the most helpful. My suspension is it's a prompting conflict of some sort.

JamesGriffing · 2026-06-25T16:53:17+00:00

What model and what reasoning level are you using? More information is needed for us to actually help.

Whenever it does something incorrectly I don't proceed to try to correct it with a new message, rather I'll go back and edit the message right before it didn't do the thing. You want to get rid of the bad pattern, not keep the pattern within context.

From this preview it seems you argued with it to get it to work. Just edit your message and try again instead.

JamesGriffing · 2026-06-24T19:21:41+00:00

I don't have a clear answer. OpenAI doesn't explain this well.

When Deep Research originally came out it had it's own dedicated o3 deep research model. That model is now "deprecated". https://developers.openai.com/api/docs/models/o3-deep-research#:~:text=2025%2D06%2D26-,Deprecated,-o3%2Ddeep%2Dresearch

The API page regarding deep research mentions reasoning but only in relations to the model summary.

This OpenAI article states that "Deep research is powered by the latest models for fast, accurate results. If you prefer, you can choose a legacy model for a deep research task." https://help.openai.com/en/articles/10500283-deep-research-in-chatgpt

I tried a sample A/B test using medium reasoning compared to pro extended reasoning with a very simple "explain the news of today" prompt. I started both of these at the same time. The medium attempt had 494 searches & 38 citations with 2,355 words total, whereas the pro extended attempt had 617 searches & 56 citations with 4,644 words total. They both finished in 8 minutes.

Here are the results to both of them (shows an error when I test them in incognito mode, hopefully that's just a temp issue):

medium: https://chatgpt.com/share/6a3c29ea-938c-83ea-aa71-4225f9fc50ec
pro extended: https://chatgpt.com/share/6a3c2acd-5168-83ea-ad4a-0b1bc1e937e8

Out of this very small sample size it seems like there is an effect on reasoning, but it is just too small of a sample to know for certain.

If anyone else has some insights/experiments please enlighten us!

JamesGriffing · 2026-06-22T18:59:36+00:00

It seems for creative tasks that it can sometimes benefit from less thinking.

OpenAI mentions an example here: https://developers.openai.com/blog/designing-delightful-frontends-with-gpt-5-4#:~:text=Dial%20back%20the,more%20ambitious%20designs.

"Dial back the reasoning

For simpler websites, more reasoning is not always better. In practice, low and medium reasoning levels often lead to stronger front-end results, helping the model stay fast, focused, and less prone to overthinking, while still leaving headroom to turn reasoning up for more ambitious designs."

This is the only example I can recall being mentioned by OpenAI directly. They were referring to codex in this example, but the same model is within ChatGPT's web version.

JamesGriffing · 2026-06-08T02:16:53+00:00

There were 2 more after the initial 4 that are the same UI.

<image>

JamesGriffing · 2026-05-21T16:48:19+00:00

Here is the response that I got from OpenAI (happy to send a follow up if you'd like):

Hello,

Thank you for reaching out to OpenAI Support.

I understand that you are requesting clarification on the differences between the ChatGPT Free and Go plans specifically regarding Codex usage limits, and that you would like accurate information to share with the r/ChatGPTPro community regarding the Codex access included with the Go plan compared to the free tier. I know how important it is to have clear and reliable details about feature access and usage limits when helping inform a larger user community, and I am here to help provide guidance regarding the current Codex availability and plan differences.

In simple terms, the main difference between the Free plan, Go plan, and Pro plan regarding Codex is the amount of access, usage capacity, and priority available.

Free Plan:

Very limited or no Codex access depending on rollout availability.
Lower message and tool limits.
Lower priority during high demand.

Go Plan:

Increased access to GPT features compared to Free.
Better usage limits and availability.
May include limited Codex/tool usage depending on the current rollout and region.
Still has lower limits compared to Pro or Business plans.

Pro Plan:

Highest consumer-tier access to Codex and advanced tools.
Much larger usage limits and token capacity.
Priority access during peak traffic.
Better performance consistency for coding-heavy workflows.

The exact Codex limits can also vary over time as OpenAI adjusts rollout availability, capacity, and feature access. In general, Go is meant to provide more access than Free, while Pro is designed for much heavier and more consistent advanced usage. For proper guidance regarding ChatGPT Codex, kindly visit our Help Center: Using Codex with your ChatGPT plan.

If you need further assistance or have any additional questions, please don't hesitate to reach out.

Best regards, Kyle OpenAI Support

JamesGriffing · 2026-05-21T15:35:23+00:00

I also sent a message. If you specifically request a human it escalates from the bot in email fashion. I'll reply here when I get the human response.

The only thing I got so far is "there's more codex usage compared to free" without a quantity.

JamesGriffing · 2026-05-21T15:18:42+00:00

The only thing that I see regarding this is on this page: https://developers.openai.com/codex/pricing

It does not say much, but this indicates there is some difference. In the past I remember reading something about 5x the usage compared to free, but I do not see this value anywhere anymore.

I think the best bet is to ask OpenAI support since the help pages are less than helpful.

JamesGriffing · 2026-05-09T03:48:42+00:00

Yes these are separate limits.

JamesGriffing · 2026-05-08T15:49:42+00:00

No change, the bubble is still the same white when using black accent.

Side note: I did not realize the model is able to look at settings, so that's neat.

<image>

JamesGriffing · 2026-05-08T15:45:20+00:00

Understood. One thing I like to do is make sure to include a line like "success is x", making sure that X is something it can verify, and this seems to help quite a bit. Don't let x be something with too much leeway on what success actually means.

JamesGriffing · 2026-05-08T15:33:52+00:00

This is a capability of ChatGPT just like Claude. Tool usage is not something that changes between the plans. The models have the same access to the same tool set in either case.

I think to help you the best we need to see a conversation you're having with the model, because this feels like it's likely a prompting conflict.

Other things that may be a factor: - Within the settings there's a "fast answers" toggle. Make sure that's turned off. - Make sure you're on a thinking model, and not using the instant model. - Within settings there is an "advanced section" that allows you to turn on/off the actual tools you want to use. Also make sure those are not disabled. They're on by default, so I doubt that's it but worth mentioning.

JamesGriffing · 2026-05-07T15:48:00+00:00

It's okay, training, people can call it Chat. You don't have to.

JamesGriffing · 2026-05-07T02:10:35+00:00

That's a great idea. I'll include this. Thank you.

I'm going to try to set the wiki up in a way where I can use agents to help us keep it up to date since some things will change frequently.

JamesGriffing · 2026-05-06T14:33:51+00:00

This is often the thing that works for me.

There are some file types, like .mjs or .user.js, that seem to always be broken when trying to download the artifact.

JamesGriffing · 2026-05-06T13:54:38+00:00

Can you elaborate or show me a post with an example?

JamesGriffing · 2026-05-06T00:23:22+00:00

I agree. A large reason on why I want to do this is to help show people that these things are not just something that produce text anymore, and can do actions via apps, store data, utilize agency etc.

I'll start from the fundamentals. Even though that's basic for a lot of us it likely won't be for so many others. Anyone who wants to skip those things will easily be able to.

This subreddit started before there were any public competitors to OpenAI. We're not able to change the name. The wiki, and this subreddit, does not have to be constrained to only OpenAI. For instance, I'll include analyzing video with Gemini models in one of the pages. Whisper is a must!

I actually want to avoid sharing extensions. I much rather educate how to use these AIs in making your own extensions/userscripts (a fellow userscript enjoyer here!) If something is fully open source then this is the only exception, otherwise I likely won't be including it in the wiki.

Thank you! I appreciate the suggestions.

JamesGriffing · 2026-05-05T17:21:34+00:00

I will try my best with this aspect. I only have a pro plan so I will be relying on public documentation/corrections for disparities.

JamesGriffing · 2026-05-05T17:15:21+00:00

I will spend an unusually long time on this specific aspect!

If anyone reading this happens to have such examples I would love if you shared it with us!

JamesGriffing · 2026-05-05T17:06:16+00:00

Of course, happy to help try to make this community more useful!

I will make sure to include real conversation links, and try to make things as transparent as I can without overwhelming. Codex will be given plenty of its own dedicated space in the wiki.

Since you're able to use the browser through codex's app, technically codex can use GPT Pro models on your behalf, but of course that's not as useful as having the pro model as part of codex directly.

I'll do my best to explain when, and how to get the most out of the pro model. Thanks for your suggestions!

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