there seems to be very big misunderstanding about what the "ultra" is, so let me explain it basing on the codex source code:

it's similar to Claude code ultracode.

there is no ultra effort level implemented on the backend. it's just alias in the codex to max effort setting and single line addition to prompt to use subagents proactively. that's all

as far as we know pro models work differently. for once those are backend implementations and they probably run multiple parallel reasonings for any chunk and use some judgement model to pick best version as persistent one. but that's what I believe is most popular guess, because this is openai secret sauce.

there is still no way to use pro models from codex, or at leat so far there is no trace of it anywhere.

I'm working in large US corporation. And I see that I already have access to 5.6-Sol Ultra on my corporate account.

I haven't really used it yet.

2 months ago management was showing us scoreboards, praising leaders who used most tokens. Last few weeks, we're getting weekly emails, telling us that whenever we can - we should use cheaper models, and that we should watch the page which shows our tokens usage.

For context:

> Additionally, we’re introducing a new ultra mode that goes beyond the capabilities of a single agent by leveraging subagents to accelerate complex work.

https://openai.com/index/previewing-gpt-5-6-sol/

Can someone explain how this compares with Pro? I thought Pro was already something similar.

I wonder if it's related that that OpenAI has found a way to cut inference costs by half, according to The Information.

https://www.theinformation.com/newsletters/ai-agenda/openai-...

Hope this forces Anthropic to be less stingy with Fable.

This is such a sad state of the industry that a reply to a tweet is now considered like an announcement by the company.

No context, nothing, just a title and a random link to a tweet, which has a seemingly relevant response from someone who works at OpenAI I guess.

Recently, I've been so eager to get new model releases in Codex. I'm hooked. I hope this accelerates development. Shows how dependant I have become to Codex.

Has anyone already tried 5.6 Sol in their day to day coding/development activities?

How does it compare to GPT-5.5?

the naming convention has reached the point where i am pretty sure the next one will just be called "GPT: The Reckoning"

I’m really looking forward to see non contaminated benchmarks. In this space its obvious that every day is just another day of a race. Cross fingers we get better opus for lower price

Competition is still needed to allow us users to make better use of these good models.

Will it have similar limited access like Fable? It is an interesting timeline, as general access for Fable (without using extra credits) is coming to an end :(

The full conversation https://xcancel.com/haider1/status/2073695124220006575#m

Are people excited about the capabilities of 5.6 over competing LLMs?

I still don't know why OpenAI doesn't put gpt-5.5-pro in Codex. It's one hell of a model and easily parallels Fable/Mythos. Sure, it'll use up your quota much faster but that's the price some users are willing to pay for absolutely high quality responses.

I think gpt-5.5-pro runs 12x parallel gpt-5.5 agents behind the scene and uses OpenAI's secret sauce to synthesize their answers into one insanely good response.

Related:

Previewing GPT‑5.6 Sol: a next-generation model

https://news.ycombinator.com/item?id=48689028

Nice! It never made sense to me that Pro Extended wasn't in the Codex app.

Which will be the uses cases for this model?

can't wait. been maxing Fable out, if Sol Ultra turns out to be as good and in Codex - that's a paradigm shift

when will it be available? do we know? I don't have X, not sure if the thread mentions it.

No Twitter, what’s he responding to?

Will individual subscribers have access?

They really try to force everyone into AI.

Next logical step: mandatory age sniffing but it can only be done if you have AI. Those not complying will be denied access to the www.

Back to terrible naming from Open AI.

Bruh when did understanding chatbots become like following pokemon? Wtf does any of this this mean. Tf is sol? Tf is ultra? Tf is codex? Tf happened to descriptive nomenclature?

they better get that out fast, it will become totally meaningless when the next GLM gets there first.

more competition is always good for consumers.

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All these names mean squat

I’m all in on Anthropic. How good is frontier openAI models for coding and things?

Gamechanger..

I can see they have inherited their poor product naming from Microslop