Adjust reasoning effort for GPT-6 Astra cost and performance
GPT-6 Astra's reasoning.effort setting supports low, medium, high, xhigh, and max levels.
reasoning.effort supports low, medium, high, xhigh, and max.
Savings
Select lower effort settings for less complex tasks to save costs.
How
Experiment with different reasoning.effort levels to balance performance and cost for your specific task.
What it does and when to use it
GPT-6 Astra offers a `reasoning.effort` parameter with levels from low to max. Adjusting this can balance the model's performance and cost for different tasks.
Why it works
Lower effort settings likely use fewer computational resources, leading to lower costs and potentially faster responses for simpler tasks.
Sources and credit
- GPT-6 Astra Model ↗OpenAI · Model Documentation · Sep 3, 2026 · paraphrased
First seen on Subvolts Sep 3, 2026. Updated Sep 11, 2026. Spotted a problem? Tell us.
Where it shows up
- GPT-6 Astra ModelOpenAI · Model Documentation · Sep 3, 2026
Terms used
Related in the PlaybookPlaybook →
The Playbook: reusable how-tos, prompts, configs and tips pulled out of the news.
- Setting tipGPT-6.1 Sol reasoning effort levelsSet the reasoning effort for GPT-6.1 Sol to control depth and cost. · 1 min
- Model pickGPT-6 Astra for complex reasoning and coding tasksUse GPT-6 Astra for the hardest end-to-end work including complex reasoning, coding, and research. · 5 min
- Setting tipConfigure Reasoning Effort for GPT-5.6 TerraAdjust Reasoning.effort setting for GPT-5.6 Terra to control its reasoning depth and cost. · 2 min
- Model pickGPT-6 model choice for reasoning and task typeMatch GPT-6 model and reasoning effort to workload for balance of capability, cost, and latency. · 5 min
- ComparisonGPT-6.1 Sol vs. Astra for cost-performance tradeoffCompare GPT-6.1 Sol and Astra on your tasks to find the best balance of quality and cost. · 10 min
- Cost tipOptimize GPT-6.1 Sol token costsUnderstand GPT-6.1 Sol token pricing for input, cache, and output to manage costs effectively. · 5 min
Questions people ask
- Which AI tools does this work with?
- The sources used it with ChatGPT.
- Where did this come from?
- OpenAI (Model Documentation). Subvolts collected, normalized and credited it; the link above opens the original.