GPT-6.1 Sol: more capability without moving to the most expensive model
A week after Sol and Luna, OpenAI updates Sol. The announced objective is to bring the complex tasks closer to the level of Astra, with a lower price per token.
API available · app on deployment
Facts, analysis and limits
Verified facts
- GPT-6.1 Sol succeeds GPT-6 Sol for agent coding, computer use and professional work; proximity to Astra is an assertion of OpenAI, not a test performed for this journal.
- For standard API requests with up to 272,000 input tokens: $2 per million input tokens, $0.10 for cache reads and $10 for output; above the threshold, long-context rates apply to the entire request.
- The announced window is 1,050,000 tokens. Tool calls use Responses; Chat Completions is supported without tool calls.
- Supported effort levels are low, medium, high, xhigh and max. EU data residency is supported, but Fast mode is not supported with that residency.
What changes
Useful progression is not only a brighter answer: it is the ability to carry out a task with tools until the result.
Practical implication
Test on a known task before replacing your default model.
Availability
API available; Work/Codex gradually deployed starting with Pro. API subscription and billing are two distinct channels.
Limits and uncertainty
The maximum context is not free, and the price per token does not measure the cost of a complete task.