OpenAI GPT-6 Sol is built to power complex coding and agentic workflows. It brings advances in reasoning, coding, computer use, and factuality to a cost-efficient model for demanding work that teams do regularly.
Sol is well suited for building features, debugging subtle issues, refactoring and reviewing code, and analyzing data. Developers can use it to build agents that gather information, use tools, and carry out multi-step requests across workplace applications. Compared with GPT-5.6 Sol, it offers stronger performance on coding and professional-work evaluations, improved factual reliability, and clearer, more concise communication.
Through Amazon Bedrock, organizations can use GPT-6 Sol in the AWS environment where their applications and workflows already run, alongside the AWS security, governance, procurement, and billing processes they already use.
Highlights
Power complex coding workflows, from building features and debugging subtle issues to refactoring and reviewing code.
Build agents that gather information, use tools, analyze data, and carry out multi-step workflows across workplace applications, with improved factual reliability and clearer communication.
Access GPT-6 Sol through Amazon Bedrock to bring cost-efficient OpenAI intelligence to applications in your existing AWS environment.
AWS Marketplace now accepts line of credit payments through the PNC Vendor Finance program. This program is available to select AWS customers in the US, excluding NV, NC, ND, TN, & VT.
You pay only for what you use, measured per token. Charges split into input, output, cache-read, and cache-write tokens, so you are billed separately for text sent, text generated, and cached content. Each token type comes in three service levels: standard, priority, and flex, which set how requests are processed. Long-context variants apply when your requests exceed normal context limits, and carry their own token rates. Some sets also carry a global label for global request routing. One TEST dimension exists for validation. Your total depends on token volume, the service level chosen, and whether long-context handling applies.
Top-of-mind questions for buyers
What counts as a token, and how are input, output, and cache tokens measured separately?
A token is a small chunk of text, roughly a few characters, that the model reads or writes. Input tokens cover text you send. Output tokens cover text the model generates. Cache-read and cache-write tokens cover reused content stored to speed repeat requests. Each type meters independently.
How do the standard, priority, and flex service levels change what I pay for the same request?
Each level sets how your request is processed. Standard is the default rate. Priority and flex adjust processing speed and handling, and carry their own token rates. Faster processing raises the per-token rate. You pick a level per request, so cost varies with the level you choose.
When do the long-context token rates apply instead of the standard token rates?
Long-context rates apply when a single request exceeds normal context limits, meaning you send or receive very large amounts of text at once. These variants carry separate input, output, cache-read, and cache-write rates. Requests within normal limits use the regular token rates.
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