OpenAI · AI model API pricing
How much does GPT-5.6 Sol cost?
OpenAI's flagship (GA July 9, 2026) — top of the GPT-5.6 family, priced at the classic frontier rate.
Rate card
| Input tokens | $5 / 1M |
| Cached input | $0.50 / 1M |
| Output tokens | $30 / 1M |
| Context window | 1M |
What that means per month
| Workload | Tokens / month | Cost / month |
|---|---|---|
| Prototype | 1M in · 0.3M out | $14/mo |
| Small app | 10M in · 3M out | $140/mo |
| Production app | 50M in · 15M out | $700/mo |
| High volume | 200M in · 60M out | $2,800/mo |
| Heavy platform | 1B in · 300M out | $14,000/mo |
Standard on-demand rates from OpenAI's official pricing page, last checked 2026-07-28. Batch API runs at 50% of these rates. Monthly figures exclude caching and batch discounts. Confirm live pricing before committing.
Where GPT-5.6 Sol sits on price
At the reference month of 10M input and 3M output tokens, GPT-5.6 Sol costs $140, which makes it the 29th cheapest of the 30 models tracked here. That is 82× the price of Qwen-Flash, the cheapest model at this mix ($1.70). Among the 10 frontier-class models it ranks 9th, behind GLM-5.2 at $27.2.
Cache economics
Cached input on GPT-5.6 Sol bills at $0.50 per 1M — 10% of its own input rate, against a 10% median across the models here that publish a cached-read price. 2 models discount cached reads more steeply than this. On the reference month, serving 80% of that input from cache takes the input side of the bill from $50 to $14, leaving output untouched at $90 — which is why a high reuse rate changes the ranking above rather than just shaving the total.
Cache reads only. Writes are billed separately by some providers and are excluded here — see the rate note above for OpenAI's terms. Try it at your own hit rate on the AI cost calculator.
Cheaper alternatives
At a reference workload of 10M input / 3M output tokens a month, these cost less than GPT-5.6 Sol ($140/mo):
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Claude Opus 4.8 $125/mo -
Claude Opus 5 $125/mo -
Kimi K3 $75/mo