LLM API Cost Calculator
Put in your monthly token usage and see what Kimi K3, GPT-5.6 Sol and Claude Fable 5 would each cost — on their official list prices. It shows cost only: there's no honest "cost per successful task" to compute, because no benchmark measures all three the same way. The capability index is a reference, never mixed into the price.
Your monthly usage
What you'd pay
Per model
How these three price up
The same 3.3× ladder
Per 1M tokens: Kimi K3 $3 in / $15 out, GPT-5.6 Sol $5 / $30, Claude Fable 5 $10 / $50. Fable costs 3.3× Kimi at every volume — the ordering never changes.
Output dominates
Output tokens cost 5× input for all three, so a chatty, long-answer workload pays far more than a read-heavy one. Your input:output mix matters more than the headline input rate.
Caching is the wildcard
A cache hit bills input at $0.30 / $0.50 / $1.00. Kimi's 90% discount is the steepest, so if your prompts repeat, its lead widens — model your real cache-hit rate above.
Full breakdown with charts: Kimi K3 vs Fable 5 vs GPT-5.6 Sol: price and benchmarks. Also: why cross-lab benchmark comparisons mislead.