To help organizations scale their AI usage without over-extending their budgets, we’ve added two new ways to reduce costs on consistent and asynchronous workloads:

• Discounted usage on committed throughput: Customers with a sustained level of tokens per minute (TPM) usage on GPT-4 or GPT-4 Turbo can request access to provisioned throughput to get discounts ranging from 10–50% based on the size of the commitment.
• Reduced costs on asynchronous workloads: Customers can use our new Batch API to run non-urgent workloads asynchronously. Batch API requests are priced at 50% off shared prices, offer much higher rate limits, and return results within 24 hours. This is ideal for use cases like model evaluation, offline classification, summarization, and synthetic data generation.

We plan to keep adding new features focused on enterprise-grade security, administrative controls, and cost management. For more information on these launches, visit our API documentation or get in touch with our team to discuss custom solutions for your enterprise.

OpenAI, alongside industry leaders including Amazon, Anthropic, Civitai, Google, Meta, Metaphysic, Microsoft, Mistral AI, and Stability AI, has committed to implementing robust child safety measures in the development, deployment, and maintenance of generative AI technologies as articulated in the Safety by Design principles. This initiative, led by Thorn, a nonprofit dedicated to defending children from sexual abuse, and All Tech Is Human, an organization dedicated to tackling tech and society’s complex problems, aims to mitigate the risks generative AI poses to children. By adopting comprehensive Safety by Design principles, OpenAI and our peers are ensuring that child safety is prioritized at every stage in the development of AI. To date, we have made significant effort to minimize the potential for our models to generate content that harms children, set age restrictions for ChatGPT, and actively engage with the National Center for Missing and Exploited Children (NCMEC), Tech Coalition, and other government and industry stakeholders on child protection issues and enhancements to reporting mechanisms. 

As part of this Safety by Design effort, we commit to:

1. Develop: Develop, build, and train generative AI models
   that proactively address child safety risks.
   • Responsibly source our training datasets, detect and remove child sexual
     abuse material (CSAM) and child sexual exploitation material (CSEM) from
     training data, and report any confirmed CSAM to the relevant
     authorities.
   • Incorporate feedback loops and iterative stress-testing strategies in
     our development process.
   • Deploy solutions to address adversarial misuse.
2. Deploy: Release and distribute generative AI models after
   they have been trained and evaluated for child safety, providing protections
   throughout the process.
   • Combat and respond to abusive content and conduct, and incorporate
     prevention efforts.
   • Encourage developer ownership in safety by design.
3. Maintain: Maintain model and platform safety by continuing
   to actively understand and respond to child safety risks.
   • Committed to removing new AIG-CSAM generated by bad actors from our
     platform. 
   • Invest in research and future technology solutions.
   • Fight CSAM, AIG-CSAM and CSEM on our platforms.

This commitment marks an important step in preventing the misuse of AI technologies to create or spread child sexual abuse material (AIG-CSAM) and other forms of sexual harm against children. As part of the working group, we have also agreed to release progress updates every year.