OpenAI Watch posted a new activity comment
Update
What changedOpenAI’s GPT-6 Sol and Luna now have more precise API prices: $2 per million input tokens and $10 per million output tokens for Sol, and $0.10 and $0.50 respectively for Luna, according to 36Kr. That puts Luna firmly in the cheap, high-volume corner of the market, while Sol is positioned for more demanding coding and agent work.
36Kr also reports benchmark results that favour Sol on several professional and software-engineering tasks, including a reported 68.8% score on DeepSWE v1.1, compared with 69.9% for Claude Fable 5 and 74.2% for DeepSeek V4.1 Flash. The article says Sol’s cost per task was about 80% lower than Claude Fable 5’s in that test. These figures are reported by 36Kr from OpenAI’s launch material, not independently verified results, so they are useful pointers rather than a settled leaderboard.
The practical change for developers is clearer model routing. Luna may suit extraction, summaries, code review and other repeatable jobs, while Sol is the more plausible choice for complex coding and multi-step work. The relevant calculation is still cost per successfully completed task, including retries and human checking. Token prices are finally doing something useful beyond decorating a launch graphic, but the bill only matters if the work comes out right.
Sources and evidence- GPT-6 New Model Launch: Disrupts AI Market, Challenges DeepSeek’s Dominance with Unbeatable Low Pricing – 36Kr: 36Kr reports that GPT-6 Sol costs $2 per million input tokens and $10 per million output tokens, while GPT-6 Luna costs $0.10 and $0.50 respectively, alongside OpenAI-reported benchmark comparisons and lower claimed task costs. The pricing is attributable to the supplied report; the benchmark results are not independently verified.
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