GPT-6 Sol and GPT-6 Luna are now generally available on Amazon Bedrock, giving you more options to match intelligence and efficiency to each workload.
The value of AI at scale depends on two dimensions: what a model can do and how often you can put it to use. Greater intelligence expands the complexity a model can handle, from subtle coding problems to multistep processes across tools. Efficiency determines how broadly that intelligence can support everyday activity and repeatable tasks, where every additional token, retry, and second of latency multiplies across requests.
GPT-6 Astra established the upper end of the GPT-6 family for the most ambitious projects, where achieving the highest-quality result matters more than cost. Organizations also need advanced intelligence for the recurring tasks that keep products and operations moving. GPT-6 Sol brings strong reasoning and coding capabilities to complex tasks performed throughout the week, with economics suited to regular use. GPT-6 Luna makes focused, repeatable tasks practical at high volume, where small differences in latency and cost multiply across requests.
Today, GPT-6 Sol and GPT-6 Luna from OpenAI are generally available on Amazon Bedrock, running on an inference engine built for high performance, security and reliability at scale. Both models come at significantly lower API pricing than their GPT-5.6 predecessors, giving you more ways to bring GPT-6 intelligence into production with the performance, control, and flexibility your workloads require.
GPT-6 Sol is designed for demanding tasks that recur throughout development and operations. It can implement features, debug issues, refactor and review code, analyze data, and complete multistep processes across tools and applications.
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