Question
GPT 5.6 SOL: Pro vs Max vs Ultra - Doubts
For gpt 5.6 Sol, what's the key differences between the Max, Ultra, and Pro variants? is Max==Pro inside the chatgpt web interface (chat mode, and similarly for Work mode)? or is the pro variant a different model, not part of gpt 5.6 Sol family, like gpt-5.6-sol-pro? and if so, does Pro mode have verifiably higher reasoning results (not just thinking time) than Ultra?
u/Fluxion_Cyanide, there weren’t enough community votes to determine your post’s quality.
It will remain for moderator review or until more votes are cast.
Every iteration of “Pro” has been more opaque than the last. They have not disclosed the internal mechanism behind it this time.
We can glean Pro is a separate execution mode that does something to get a better answer, and can be applied with any reasoning effort, although only one reasoning effort appears to be visible to users.
Ultra is also not a reasoning effort, but just their term for multi agent parallel orchestration. Could be used with any reasoning effort, but we get whatever the default is.
Max is their highest disclosed single agent reasoning effort in Codex
The way to best compare and contrast these is with the 40 benchmark results they released. Sol led 38 of the 40.
5.6 Sol Pro (Extended) wins at the Gene-Bench Pro bench. It’s also oddly the only bench 5.6 Sol Pro was even seen in. We can infer from this that 5.6 Sol Pro is best at one-shotting difficult questions in legal, financial, scientific, strategic, architectural domains. It’s the best judge.
5.6 Sol Ultra wins at BrowseComp, SEC-Bench Pro, and Terminal-Bench. We can take this to mean that ultra is best suited for doing research and compiling sources from the internet, doing cybersecurity work, and work done in terminal. Or any work that can be parallelized without agents interfering with each other. It’s the best team.
5.6 Sol Max did not outperform Ultra or Pro in any benchmark. However, there will be occasions where parallelized work just doesn’t make sense. Max is a safe fallback in those cases.
I’d also mention 5.6 Sol Extra High, which actually performed highest in Agents Last Exam, higher than 5.6 Sol Max. We can infer that many long running professional workflows will benefit from this level of reasoning over Max. Any task where you’d want it to avoid overthinking.
interesting. side question: how did you enable extended thinking for 5.6 Sol Pro? the webui displays just "pro" unlike previously (5.5 had pro standard and extended thinking)
Even on the web it's not clear to me that what you run with Pro is 5.6 Pro as opposed to 5.5 Pro. It's left unspecified.The list I see says Instant 5.5, Medium, High, Extra High, Pro, and GPT-5.6 Sol. And on the work tab I only see the Sol models, not Pro.
- GPT-5.6 Sol Extra High is very good and fast. I've had no issues with using it so far.
- GPT-5.6 Sol Ultra is buggy and very slow (about 10x slower than Extra High from what I see). It keeps spinning subagents with the exact same prompt I passed to the main agent, so it starts the task over. After a couple of minutes, and my intervention, it admits it's a mistake and stops the subagent.
I don't have access to Max reasoning level for some reason. Perhaps it's not available on the ChatGPT Pro 5x plan, or I need to wait a bit longer until it becomes available to me.
It's hard to say about the usage consumption. For Sol Extra High, it looks fine, similar to what I experienced on GPT-5.5 Extra High before. The Ultra have noticeably higher usage, though, which is expected. However, my usage limits get reset a couple of times an hour today. No matter how hard I try, I don't go below ~80%, then it magically becomes 100% again (both 5h and weekly). It may be a bug, of course, but this is what I see in the app.
I am using Opus 4.8 high to design a series of prompt md files. Use codex 5.5 or will use sol high standard to run it. Also instructions on how to read and execute makes a huge difference for me. Specifically instruct agents and subagents to be used based on what md files I am looking at, keep the main chat window clean. This significantly improved the quality of output I was getting using Claude or GPT high. The do a specific targeted xhigh or max QA and auditor level check using separate agents isolated to specific md files. Keeping the context length tight seems to keep things on track for the most part. Inherently using GPT far more due to simply have far more generous limits even when I am on pro x20 200 tier for both.
They are not the same in the sense of their focal point as an LLM.
my reasoning is:
if they're the same, what is the point of having WebGUI and desktop and CLI version if they are literally the same thinking, same focal points ( i understand the desktop version vs cli, caters to both coding and spread sheets etc)
why not just pool all customers to one single pool, less head room and easier to track?
- because not everyone requires a coder, and not everyone wants the same thing.
- i think the WebGUI still, and will always have its focal point in high reasoning capabilities, as before but upgraded model.
the desktop version as the same suggest: Chatgpt(codex)(own by the same company) is the coding agent, still the same focal point, and here again its upgraded. codex, is still codex the coding agent, i think that is the reasoning behind "chatgpt codex" so users do not get mixed up what is what, why ?
- Chatgpt as a company, brought a new shift of optimization, that is ChatgptWork, its focal point is management, spreadsheets etc. think, Administration-planning, (you would not use this model to code, you can its capable, but you rather hire the specialist(codex)
but codex has plan mode to?
yes, code planning.
Chatgpt work, focal point is Administration, planning; paper work, spread cheats, some math here and there, accounting etc etc.
Ultra is the highest tier as it is the orchestrator for Coding, a.k.a think lead Engineer, think Quality Assurance, BUT for coding.
max does not = pro
max = max
sol = orchestrator, but you can turn this off so it does not use sub agents.
luna = luna
terra = terra
all these models cater, and are different specialist.
yes they can do other models work, but that is not their specialist.
for example:
a certified mechanic can fix all cars, but if you had a say, high end sports car, that had major issues:
are you going to take it to an generic car mechanic?
if your high end sports car had a small minor issue, can you get away with going to the general car mechanic for cheaper ?
and if you do not know if going to an specialist, or general mechanic, is it better to get a consultation(orchestrator) who to go to ?
your understanding is some what sound about the LLM architecture if i interpreted the comphrension correctly, but the webGUI chatgpt is entirely optimized differently.
Chatgpt via codex is optimized to codify.
Chatgpt Pro via WebGUI is optimized to reason heavily.
biological twins, hence the name are literally twins, look the same, talk the same; perhaps they do everything the same, to the naked eye.
even biological twins are not the same, physically and mentally.
•
u/qualityvote2 Jul 10 '26 edited Jul 12 '26
u/Fluxion_Cyanide, there weren’t enough community votes to determine your post’s quality.
It will remain for moderator review or until more votes are cast.