OpenAI

GPT-5.6 Sol pricing

$4 per million input tokens, $20 per million output tokens, 1.1M-token context window. A 1,500-in / 400-out request costs $0.014.

Input / 1M tokens
$4
Output / 1M tokens
$20
Cached input / 1M
$0.400
Context window
1.1M tokens
Max output
128K tokens
Released
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Worked cost examples

WorkloadPer request1,000 requests6,000 requests / month
Customer-support reply (1,500 in / 400 out)$0.014$14$84
Document summary (20,000 in / 1,000 out)$0.100$100$600
Code review pass (8,000 in / 1,500 out)$0.062$62$372

List prices only. Caching, batch tiers and volume agreements can change these numbers substantially.

Where it sits on price

Of the 30 models in this catalog, GPT-5.6 Sol ranks 26 by output price — cheaper than 2 and more expensive than 25. Cached input is billed at $0.400 per million tokens, about 10% of the standard input rate, so a high cache-hit rate changes the picture.

Price is not capability. A model that is half the price but needs two attempts, or that cannot hold your context, is the more expensive choice. Use these figures for budgeting and run your own evaluation for the quality decision.

Price it for your own workload

Enter your real request size and traffic in the calculator to get a monthly number.

Open the LLM cost calculator

Other OpenAI models

List price last verified Oct 15, 2026 against the vendor's published pricing. Promotional pricing, available at least through 2026-11-21. Prompts >272K input tokens are billed at 2x input and 1.5x output. Long-context (>272K) rate not shown here.. Vendors change prices without notice — confirm on the vendor's page before you commit.