Reduced pricing for GPT-4 Turbo input and output tokens
GPT-4 Turbo is now 3x cheaper for input and 2x cheaper for output tokens compared to GPT-4.
Utilize GPT-4 Turbo for cost savings on API calls.
3x cheaper for input tokens, 2x cheaper for output tokens.
By using the `gpt-4-1106-preview` model in the API.
Developers can significantly reduce costs by using GPT-4 Turbo, which offers 3x cheaper input tokens and 2x cheaper output tokens compared to the previous GPT-4 model. This makes advanced capabilities more accessible.
OpenAI has optimized GPT-4 Turbo's performance, allowing them to offer it at a lower price point for API usage.
When using older GPT-4 models or when the specific features of GPT-4 Turbo are not required and a cheaper model suffices.
- New models and developer products announced at DevDay ↗OpenAI News · OpenAI News · Nov 6, 2023 · paraphrased
First seen on Subvolts Nov 6, 2023. Updated Sep 11, 2026. Spotted a problem? Tell us.
- New models and developer products announced at DevDayOpenAI · OpenAI News · Nov 6, 2023
The Playbook: reusable how-tos, prompts, configs and tips pulled out of the news.
- Cost tipReduce GPT-6 Luna costs with cached tokensUse cached input tokens to lower costs for high-volume tasks. · 5 min
- Setting tipControl GPT-6 Luna reasoning effort for efficiencyAdjust reasoning_effort to balance model performance and cost for focused tasks. · 1 min
- Model pickGPT-4o fine-tuning for custom applicationsFine-tune GPT-4o for higher performance and accuracy in specific use cases. · 15 min
- ToolGPT-3.5 Turbo fine-tuning APICustomize GPT-3.5 Turbo models with your own data for improved performance on specific tasks. · 15 min
- Cost tipManage GPT-6 Luna costs for large token promptsBe aware of increased pricing for prompts exceeding 272K input tokens. · 5 min
- Cost tipUnderstand GPT-6 Luna pricing for batch and fast modesBatch and Flex modes offer 50% rates, while Fast mode doubles costs. · 5 min
Questions people ask
- Which AI tools does this work with?
- The sources used it with ChatGPT.
- Where did this come from?
- OpenAI News (OpenAI News). Subvolts collected, normalized and credited it; the link above opens the original.

