Simulating realistic Document summarization parameters (25,000 in / 600 out with 10% cache reuse). QwQ 32B (Reasoner) delivers a 30% cost reduction over DeepSeek R1 (Reasoner).
| Traffic Volume Tier | QwQ 32B (Reasoner) Monthly | DeepSeek R1 (Reasoner) Monthly | Monthly Savings by picking QwQ 32B (Reasoner) |
|---|---|---|---|
| 1,000 reqs/mo (Dev/Testing) | $9.82 | $14.039 | Save $4.219 / mo |
| 10,000 reqs/mo (Small App) | $98.20 | $140.39 | Save $42.19 / mo |
| 100,000 reqs/mo (Growth Production) | $982.00 | $1,403.90 | Save $421.90 / mo |
| 1,000,000 reqs/mo (Scale SaaS) | $9,820.00 | $14,039.00 | Save $4,219.00 / mo |
QwQ 32B (Reasoner) is 30% cheaper for Document summarization workloads. At standard Document summarization parameter ratios (25,000 input tokens, 600 output tokens, 10% cache hit), QwQ 32B (Reasoner) costs $0.00982 per request compared to $0.014 on DeepSeek R1 (Reasoner).
QwQ 32B (Reasoner) offers a context window of 128,000 tokens (max output: 32,768), while DeepSeek R1 (Reasoner) offers 64,000 tokens (max output: 8,000).
At 100,000 requests per month, using QwQ 32B (Reasoner) saves $421.90 every month (or $5,062.80 annually) compared to DeepSeek R1 (Reasoner).
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.