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OpenAI Makes GPT-5.6 Sol Cheaper for Metered Use, Not Easier to Access

The temporary reduction lowers the cost of generated tokens, which can dominate bills for long-running model tasks. Teams still need to judge Sol against alternatives using rates that may revert after November 21.

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OpenAI Makes GPT-5.6 Sol Cheaper for Metered Use, Not Easier to Access
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OpenAI has cut the price of generated output from GPT-5.6 Sol by a third, from thirty dollars to twenty dollars per million tokens. The reduction is temporary, lasting through at least November twenty-first, and it targets the part of long-running model jobs that can drive the largest bills. Input pricing is also lower, falling from five dollars to four dollars per million tokens. Cached input drops from fifty cents to forty cents. At those promotional rates, a workload with one million input tokens and one million output tokens costs twenty-four dollars, down from thirty-five, before tool fees, cache-write charges, priority processing, or other surcharges. The discount applies to API usage now, and to eligible activity paid with purchased credits in ChatGPT Work and Codex as that access rolls out. It does not expand the allowances or capacity included with Plus, Pro, or Business subscriptions. Five-hour limits, weekly limits, and bundled ChatGPT usage remain the same; purchased credits can only extend eligible paid activity. The economics depend on the workload. Output-heavy tasks get the biggest benefit, while jobs dominated by fresh input or cached context save less. That matters for Sol, which supports a 1.05-million-token context window and outputs of up to 128,000 tokens. The key constraint for evaluations is timing: API rates are live, but the company can restore the old prices after November twenty-first. Any apparent cost advantage needs to survive that reset.

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3 key points

OpenAI is temporarily cutting GPT-5.6 Sol’s metered rates through at least November 21, with output tokens dropping from $30 to $20 per million—the biggest savings for generation-heavy workloads. A balanced one-million-input/one-million-output task falls from $35 to $24 before extra fees. The lower prices apply to API usage and eligible purchased-credit activity in ChatGPT Work and Codex, but do not expand...

  1. 01

    Output pricing drops 33%, from $30 to $20 per million tokens; input falls 20% to $4, and cached input to $0.40.

  2. 02

    A balanced one-million-input/one-million-output workload costs $24 temporarily, versus $35 previously, excluding tools and other surcharges.

  3. 03

    Plus, Pro, and Business allowances, five-hour limits, weekly limits, and included ChatGPT usage remain unchanged.

OpenAI has lowered GPT-5.6 Sol’s metered pricing through at least November 21, with the sharpest cut landing on the generated output that can drive large model bills. The offer reduces API and eligible credit-paid use; it does not add capacity to ChatGPT subscriptions.

The promotion covers API calls and eligible activity paid with purchased credits in ChatGPT Work and Codex. Included usage, five-hour limits, weekly limits and subscription allowances for Plus, Pro and Business remain unchanged. For subscribers, purchased credits can therefore extend eligible paid activity without changing the usage bundled into a plan.

Sol’s input rate fell from $5 to $4 per million tokens, while cached input fell from $0.50 to $0.40. Output fell from $30 to $20 per million tokens, making generated tokens the largest component of the promotion.

GPT-5.6 Sol promotional API rates

Input
$5→$4
per million tokens

Input pricing moved from $5 to $4 per million tokens.

Cached input
$0.50→$0.40
per million tokens

Cached-input pricing moved from $0.50 to $0.40 per million tokens.

Output
$30→$20
per million tokens

Output pricing moved from $30 to $20 per million tokens.

A task using one million input tokens and producing one million output tokens would cost $24 under the temporary pricing, versus $35 previously. That example excludes tool-call fees, priority processing, cache writes and the higher rates for prompts exceeding 272,000 input tokens.

How the discount changes with the workload

  • Tasks that generate substantial output receive the largest relative benefit because output has the steepest rate reduction.
  • Workloads weighted toward new input or cached context save less than output-heavy jobs. The actual bill depends on the mix of all three token types.
  • That mix can matter in long tasks: Sol supports a 1.05 million-token context window and outputs of up to 128,000 tokens.
  • For eligible purchased-credit activity, the updated credit card lists 100 credits per million input tokens, 10 for cached input and 500 for output, compared with previous rates of 125, 12.5 and 750 credits.

OpenAI announced the reduction on August 21, and the promotion runs through at least November 21. API access is already available at the new rates, while eligible purchased-credit use in ChatGPT Work and Codex is rolling out. The company can restore the earlier rates after the promotion, so a Sol evaluation made during this period is a test of a promotional bill rather than a permanent price commitment.

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