Simulating realistic Document summarization parameters (25,000 in / 600 out with 10% cache reuse). Grok 4.5 delivers a 36% cost reduction over Kimi K3 (Moonshot).
| Traffic Volume Tier | Grok 4.5 Monthly | Kimi K3 (Moonshot) Monthly | Monthly Savings by picking Grok 4.5 |
|---|---|---|---|
| 1,000 reqs/mo (Dev/Testing) | $49.35 | $77.25 | Save $27.90 / mo |
| 10,000 reqs/mo (Small App) | $493.50 | $772.50 | Save $279.00 / mo |
| 100,000 reqs/mo (Growth Production) | $4,935.00 | $7,725.00 | Save $2,790.00 / mo |
| 1,000,000 reqs/mo (Scale SaaS) | $49,350.00 | $77,250.00 | Save $27,900.00 / mo |
Grok 4.5 is 36% cheaper for Document summarization workloads. At standard Document summarization parameter ratios (25,000 input tokens, 600 output tokens, 10% cache hit), Grok 4.5 costs $0.0494 per request compared to $0.0773 on Kimi K3 (Moonshot).
Grok 4.5 offers a context window of 500,000 tokens (max output: 64,000), while Kimi K3 (Moonshot) offers 1,000,000 tokens (max output: 64,000).
At 100,000 requests per month, using Grok 4.5 saves $2,790.00 every month (or $33,480.00 annually) compared to Kimi K3 (Moonshot).
Long-context models pay off here — compare price per 1M tokens at your true document size. Summarize once, store the result; don't re-summarize unchanged documents. For batch backfills, nightly jobs can use cache-friendly request ordering.