What changed
OpenAI introduced GPT-6.1 Sol for coding, computer use and professional tasks on September 29. The release makes model selection a workload question.
Why it matters
A lower token price does not establish a lower engineering bill. A model that needs more retries, produces larger patches or requires extra review can erase the saving. Compare completed tasks under the same tool permissions and repository snapshot. Separate routine edits from unfamiliar debugging, and record failures as carefully as successes.
What to check next
Take ten representative issues from a private evaluation repository. Hide the expected fixes, set a time and spend cap, and score tests passed, regressions and reviewer minutes. Keep the existing model available until the new route proves useful on your own work.
Event dates refer to the original announcement. Publication dates show when this article first appeared on Codorc.
