OpenAI introduces GPT-6.1 Sol with lower-cost frontier work in view
The model targets coding, computer use and professional tasks, with standard API token prices below Astra’s.
THE STORY IN THREE POINTS
- GPT-6.1 Sol was introduced on September 29.
- Standard API pricing is $2 per million input tokens and $10 per million output tokens.
- OpenAI positions it near Astra on several task evaluations.
The model launch
OpenAI introduced GPT-6.1 Sol as an upgrade to GPT-6 Sol for coding, computer use and professional work. Its standard API prices are $2 per million input tokens, $10 per million output tokens and $0.10 per million cached input tokens.
The company says it approaches Astra on several evaluations at lower cost. The announcement provides task-specific results; those remain attributed vendor measurements rather than our own tests.
Editorial context: cheaper tokens are a starting point
A purchasing decision could compare the same set of documents or code changes across models, then count how many results a reviewer accepts. Extra retries, missed details and longer outputs can all affect the cost of producing usable work.
The comparison also needs a consistent tool environment. A model with a different browser, retrieval system or permission set may face a different task, making a headline score difficult to transfer into a deployment decision.
Editorial outlook: what to watch
The useful next evidence would connect pricing with success rates on representative professional workflows.
Developers should record reasoning settings and cache behavior alongside the final bill. A lower price becomes meaningful when the full workflow produces an accepted result within the required time and review budget.
Sources: OpenAI: Introducing GPT-6.1 Sol ↗
