Grok 4.7’s output price is lower than Sol’s: $6 per million tokens against $10. Input is the same $2 on a prompt under the long-context line. Grok’s line arrives sooner. At 200,000 tokens or more, every token in the request uses $4 input and $12 output. Sol’s long rate starts after 272,000 input tokens, at $4 and $15. Grok’s batch discount is 20 percent, not half. The context window we could confirm for Grok 4.7 is 500,000 tokens, against about 1.05 million for Sol.
For 1,000 input tokens, 400 output tokens, and 50 requests a day, in US dollars: Grok 4.7 is the cheapest of these, at $6.60 a month.
$0.0044 for one request, and $0.22 a day at 50 requests a day.
Show the maths
New input: 1,000 tokens × $2.00 per million = $0.002
Output: 400 tokens × $6.00 per million = $0.0024
1,500 requests a month × $0.0044 = $6.60
Caching half the input would save about $1.13 a month
That uses the published cache-read price of $0.50 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 $1.32 a month
xAI's Batch API is 20% off standard rates for this model, on every token type. Batch jobs are slower, and they suit work that can wait.
A reply half as long would save about $1.80 a month
Output tokens are often the expensive part. Asking for a shorter answer cuts that cost directly.
$0.006 for one request, and $0.30 a day at 50 requests a day.
Show the maths
New input: 1,000 tokens × $2.00 per million = $0.002
Output: 400 tokens × $10.00 per million = $0.004
1,500 requests a month × $0.006 = $9.00
Caching half the input would save about $1.43 a month
That uses the published cache-read price of $0.10 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 $4.50 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-4.1 would cost about $1.20 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 $3.00 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.