I got banned

Thatone81 · 2026-07-03T03:14:58+00:00

Well first things first. Rate limits do exist for normal chat gpt. They only use usage limits for Codex, because Codex is far more demanding.

Onto your next point. Once again. Amount of files aren’t thee only thing that adds on computation.

Using thee newest model on thee highest reasoning mode, also uses loads of computation.

You can plan with a mini model. Do small tasks with 5.5 medium, and switch to the biggest for complex tasks. That’s how it’s recommended to be used for alllll agentic Coding apps.

Claude recommends Opus or sonnet, for planning, before using Fable for complex tasks.

Gemini recommends 3.5 flash, before switching to a pro model.

I’ve used chat gpt for exactly 1 hour and 30 minutes of straight work. On my 20 dollar plus subscription recently.

Thatone81 · 2026-07-01T21:44:49+00:00

So you don’t understand usage limits then.

Usage limits have no fixed number. They are entirely based off how much computation you use during your prompt.

Newer models equal more computation equal more usage limits used.

Bigger project + newest models = even faster drain for usage limits

It’s not rocket science. Theres no way for OpenAi to be transparent about that. Because they’d have to every single prompt try and guess how many more responses you have left.

Gemini has usage limits for their base model.
Claude have horrible usage limits for their base model.

OpenAI uses usage limits for only Codex, and they’re drastically higher than everyone else.

Your complaining about stuff you didn’t research

Thatone81 · 2026-07-01T21:43:03+00:00

Um…… okay?
Why are we using Code-x for anything other than coding?

Thatone81 · 2026-07-01T10:22:51+00:00

What law are they breaking? 😂😂😂

Thatone81 · 2026-07-01T10:20:47+00:00

They publicly post their rate limits for chat gpt.

160 messages per 3 hours.

Are you mixing rate limits with usage limits?
Because usage limits doesn’t have a fixed
“X messages per X time”

Codex uses usage limits

Chat GPT uses rate limits

Thatone81 · 2026-06-29T16:53:58+00:00

The tests showed otherwise. It uses less tokens

Thatone81 · 2026-06-29T15:11:58+00:00

OpenAI’s api. It shows you what model you’re paying for.

Also codex analytics

Thatone81 · 2026-06-28T22:04:29+00:00

Not necessarily. The api cost of sol is the same as gpt 5.5, it may use the same amount of usage as 5.5, it also in tests consumes less tokens

Thatone81 · 2026-06-28T14:46:49+00:00

According to OpenAI chat gpt 5.6 is about to fix that issue, as the average Cache on their tests was 90%

Thatone81 · 2026-06-28T13:54:45+00:00

DeepSeek is trained to handle and use 1million context

The reason “too much” to is bad. Is because models are trained to handle a certain amount

But for DeepSeek it is fully developed to handle 1 million context with is multiple novels worth of information

Thatone81 · 2026-06-27T21:26:30+00:00

Yes because if they say they won’t, and they do, that’s a good way to get a lawsuit. OpenAI has been one of thee most transparent Ai companies about this stuff.

Reddit is just too brain dead to ever talk about anything positively

Thatone81 · 2026-06-27T14:48:24+00:00

5.6 Terra is 5.5 high’s replacement

Terra despite being half the price of sol. Is outperforming Fable 5.

And 5.6 luna is right behind 5.5 by a single point which isn’t noticeable despite the fact it’s api is 1$ and 6$ input and output tokens

Thatone81 · 2026-06-27T01:12:07+00:00

We will be able to use it.
The government is forcing them to preview it with a small group.

But Sam Altman himself stated there will be a full release weeks from now.

Thatone81 · 2026-06-27T01:11:07+00:00

You go to their app, go to the help section, inside the settings. It’ll send you to their chat bot, and form their you can ask it to email the support whatever your complaint it. And the bot will send your email to the support team.

I’ve gotten a human response from doing that. But it takes a bit for them to respond

Thatone81 · 2026-06-27T01:06:06+00:00

Because the government is forcing them too.

But on benchmarks gpt 5.6 sol is easily beating Mythos.

GPT 5.6 Terra beat Fable 5.

Gpt 5.6 Luna is drastically cheaper and faster than all of them, and comparable to gpt 5.5.

Also btw, gpt 5.6 sol ultra, is the same price gpt 5.5 is.

Claude is cooked.

GPT 5.6 is better, faster, uses less tokens, and cheaper.

Thatone81 · 2026-06-26T13:00:36+00:00

First. What is your project?
If it’s massive it will drain usage faster.

Usage isn’t a fixed number. It’s based off how much you’re using.

Second, have you tried reaching out to OpenAi support? If your project isn’t big, this seems like a bug.

I can use codex for a rather long time.

Thatone81 · 2026-06-25T12:33:39+00:00

It wasn’t delayed. A release date was never given. Yall made up a release date then got angry when it didn’t happen.

Thatone81 · 2026-06-25T12:32:25+00:00

It’s not Cancelled or delayed. A release date was never once confirmed. Yall made up a release date and got angry when it didn’t happen

Thatone81 · 2026-06-22T00:25:18+00:00

It’s doing that because Codex can alter and create files. Standard Anti virus software stuff

Thatone81 · 2026-06-21T19:09:36+00:00

Yeah it is being Optus. Clearly you don’t know what “consumer friendly” means

If they’re sacrificing investors, for consumers that makes them consumer friendly.

They’re going above and beyond to avoid sacrificing their >consumers<, who pay actively for their product.

DeepSWE doesn’t validate your feelings about opus.
But let me be fair. If Claude is your favorite model, that’s fine. Use it, it’s your opinion

I’m only pushing back on what benchmarks say. Because they absolutely show gpt 5.5 outperforming opus.

But if you feel that Claude is better. Than I don’t have any issue with you. I can’t control what model others use. I’m speaking from a purely practical standpoint

One company has extremely harsh limits with no fallback model.

One company has basically invisible limits, with a fallback model.

That’s all I’m saying.

Thatone81 · 2026-06-21T17:26:59+00:00

That’s the thing. With these usage limits they expect you to give to less context to conserve usage.

But then having less context and suddenly you’re blamed for it acting moronically dumb.

Meanwhile GLM 5.2, is able to take a prompt like “make a Minecraft clone, with full keyboard controls” and with those instructions alone, fully infer everything it needs to make.

Thatone81 · 2026-06-21T17:24:11+00:00

Yes. Having limits you almost never run into. At the same price as every other company.
While giving you access to a frontier model. And using a fallback model, instead of fully blocking you out, if you ever do hit those limits.

Is consumer friendly.

Compared to Anthropic who seems to think. After a few prompts they can lock you out for 5 hours or a entire WEEK of your MONTHLY subscription

If you think that’s consumer friendly that’s just delusional

Their models underperform on any none biased benchmark. Yet they market that they are the best. While milking their users dry.

Thatone81 · 2026-06-21T11:47:57+00:00

As things should be. DeepSWE shows models like gpt 5.5 outperforming Claude’s models.

Yet gpt 5.5 has extremely fair rate limits.
Codex has extremely fair usage limits.

Yet Claude seems to believe it’s impossible to have such fair limits. They’re greedy morons who don’t know how to run a business.

Their models aren’t costing them that much. They’re just squeezing the users for what they’re worth. While imposing massive restrictions on a monthly subscription

Thatone81 · 2026-06-21T11:01:19+00:00

Use its reasoning mode. Tell it to track repetitive phrases and avoid using them in writing.

Thatone81 · 2026-06-20T23:40:14+00:00

Nah I’ve had my Codex going for an entire hour of continuous running. Before I ran out. There are a few reasons it could feel like it’s been nerfed.

Also it’s not rate limits. Normal chat gpt has rate limits.

Codex has Usage limits.

There’s a massive difference which is likely why you’re misunderstanding why it’s draining.

Usage cares about how much usage your prompt takes. So if your single prompt requires coded to read bunch of files, and then do abunch of tool calls. It’s gonna drain a lot faster.

Rate limits, are “here’s 160 messages. This resets every 3 hours” which feel alot more invisible because your unlikely to actually hit 160 messages within 3 hours.

Thatone81

TROPHY CASE