The poster says GPT-6 Sol xhigh made its first mistake on an unspecified existing task, while GPT-5 through GPT-5.5 series models had not made one before. This is a single personal report that cannot be independently verified, and does not establish the overall comparative quality of the two model generations.
This can serve as a regression-testing lead to investigate: on your own real coding tasks, hold inputs and tool conditions constant, compare GPT-6 Sol xhigh with an older model, and save the outputs and run traces. The post does not describe the task, so the same task cannot be reproduced directly from it.
The poster says they had just tested GPT-6 Sol at xhigh effort.
The poster says that on “this task,” Sol and models from the GPT-5 through GPT-5.5 series had not made a mistake before, while GPT-6 Sol made one for the first time in this run.
The older models' exact versions, effort settings, number of runs, and whether the same prompt or tools were used are not specified. The post does not include the task, input, output, definition of an error, or logs.
The poster further speculates that even at max, GPT-6 Sol might underperform GPT-5.6 Sol on some coding tasks. This is speculation, not a reported hands-on result at max.
OP's reported test: On an undisclosed task, GPT-6 Sol xhigh made an error that had not occurred in the poster's previous runs with GPT-5 through GPT-5.5 series models. The error type and impact are unknown.
Commenters' personal reports: Simple-Diver-2192 says GPT-6 Sol used substantially less reasoning, produced similar output, and took less than half as long as GPT-5.6 Sol; no task, timing method, or run logs are provided. Ill_Swim_5672 says performance was broadly similar, slightly worse but with a negligible difference, and that the amount available under their quota was roughly doubled. These are their individual experiences.
Speculation or assertions in the comments: Comments about whether GPT-6 Sol is Terra-sized, distilled from Astra, or has different pricing or quotas provide no verifiable evidence. They are not treated as model specifications or results from this comparison.
It can be cited as an early regression lead: On the same undisclosed task, the author reports that GPT-6 Sol xhigh made an error, while runs with older Sol-series models did not. Any citation should also state that the task, input, and logs were not made public; commenters' claims about time, reasoning, and quota are separate personal observations and cannot be treated as the OP's test data.
This is a single, unverified statement by the OP. The task is not described at all, so it cannot be confirmed as a coding task or otherwise.
There is no prompt, input data, expected result, failed output, code repository, tool trace, or log. Without these materials, the error cannot be replayed or its severity assessed.
The older models are identified only as Sol and the GPT-5 through GPT-5.5 series, with no exact versions or configurations. It is not possible to confirm that the comparison conditions were consistent.
Other users' observations in the comments involve different tasks and interfaces, and have no records; they cannot be pooled with the OP's single result.
To investigate this lead, first obtain the original task and failure example, then fix the model versions, effort, tools, and inputs, save complete outputs and run records from both sides, and repeat across multiple tasks. The existing post is insufficient to reproduce the original test.
GPT-6 Sol
