Is GPT-5.6 Standard Global pricing currently 0.01 per 1M tokens?

The Max Coder 5 Reputation points
2026-07-17T14:37:51.0633333+00:00

I noticed that GPT-5.6 Sol usage is showing the same rate, 0.01 per 1M tokens, for cached input, cache writes, input, and output.

The same pattern appears for GPT-5.6 Luna and Terra. But GPT-5.5 usage in the same Azure export has different rates by token type, such as 0.50 cached input, 5.00 input, and 30.00 output.

Is the GPT-5.6 rate intentional, perhaps a temporary promotion, or could these new meters be incorrectly priced and re-rated later?

Azure OpenAI in Foundry Models

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  1. Sina Salam 31,056 Reputation points Volunteer Moderator
    2026-07-18T14:33:13.6866667+00:00

    Hello The Max Coder,

    Welcome to the Microsoft Q&A and thank you for posting your questions here.

    Regarding your question:

    Is GPT-5.6 Standard Global pricing currently 0.01 per 1M tokens?

    The observed $0.01 per 1M tokens for GPT-5.6 Sol/Luna/Terra Global Standard is not publicly validated by official Microsoft pricing documentation. The official Azure OpenAI pricing page does not publish GPT-5.6 Sol/Luna/Terra at $0.01 across input, output, cached input, and cache write. Microsoft’s prompt caching documentation confirms that GPT-5.6 and later models bill cache writes separately from discounted cache reads, so a uniform $0.01 across all token categories is not supported by the public documentation. You will need to validate the exact ( MeterId, MeterName, SkuName, UnitOfMeasure, UnitPrice, PAYGPrice, and EffectivePrice from Cost Management export.) through Azure Retail Prices API. For example if the exact meter IDs are absent, the rate is not publicly verifiable and must not be used as confirmed production pricing. For invoice reconciliation only, use EffectivePrice × Quantity from Cost Management export.

    Use the below resource links for more reading and steps:

    I hope this is helpful. Please! Do not hesitate to let me know if you have any other questions, steps or clarifications.


    Please do not close the thread by upvoting and accepting the answer if any part of it is helpful.

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