These are the dearest general models on the OpenAI and Anthropic lists we checked. Both publish $10 per million input tokens and $50 per million output tokens on a normal-length prompt. The useful difference is the cache: Fable’s cache read is $0.25 per million, Astra’s is $1. Astra also has a higher rate once a prompt passes 272,000 input tokens, while Fable’s listed rate stays flat across its 1 million token window.
For 1,000 input tokens, 400 output tokens, and 50 requests a day, in US dollars: GPT-6 Astra is the cheapest of these, at $45.00 a month.
$0.03 for one request, and $1.50 a day at 50 requests a day.
Show the maths
New input: 1,000 tokens × $10.00 per million = $0.01
Output: 400 tokens × $50.00 per million = $0.02
1,500 requests a month × $0.03 = $45.00
Caching half the input would save about $6.75 a month
That uses the published cache-read price of $1.00 per million tokens. It assumes half of these input tokens are already in a cache. Writing the cache can cost extra, and that write price is not included.
Batch processing would save about $22.50 a month
OpenAI's batch table lists half the standard input and output price for this model. Batch jobs are slower, and they suit work that can wait.
GPT-5.6 Sol would cost about $27.00 less a month
It is a cheaper model in the same broad class on this price list. It is still a different model, and the replies will not match.
A reply half as long would save about $15.00 a month
Output tokens are often the expensive part. Asking for a shorter answer cuts that cost directly.
$0.03 for one request, and $1.50 a day at 50 requests a day.
Show the maths
New input: 1,000 tokens × $10.00 per million = $0.01
Output: 400 tokens × $50.00 per million = $0.02
1,500 requests a month × $0.03 = $45.00
Caching half the input would save about $7.31 a month
That uses the published cache-read price of $0.25 per million tokens. It assumes half of these input tokens are already in a cache. Writing the cache can cost extra, and that write price is not included.
Batch processing would save about $22.50 a month
Anthropic's Batch API is half price on input and output. Cache discounts stack with that. Batch jobs are slower, and they suit work that can wait.
Claude Opus 5.5 would cost about $27.00 less a month
It is a cheaper model in the same broad class on this price list. It is still a different model, and the replies will not match.
A reply half as long would save about $15.00 a month
Output tokens are often the expensive part. Asking for a shorter answer cuts that cost directly.
Cached prices here are read prices. Writing a cache can cost extra, and that write price is on the provider’s page, not in this total. A US-only endpoint is 1.1× at some providers and is not included. Fast modes are not included.