Simulating realistic Document summarization parameters (25,000 in / 600 out with 10% cache reuse). Qwen 2.5 Coder 32B delivers a 7% cost reduction over MiniMax-01 (4M Context).
| Traffic Volume Tier | Qwen 2.5 Coder 32B Monthly | MiniMax-01 (4M Context) Monthly | Monthly Savings by picking Qwen 2.5 Coder 32B |
|---|---|---|---|
| 1,000 reqs/mo (Dev/Testing) | $4.91 | $5.26 | Save $0.35 / mo |
| 10,000 reqs/mo (Small App) | $49.10 | $52.60 | Save $3.50 / mo |
| 100,000 reqs/mo (Growth Production) | $491.00 | $526.00 | Save $35.00 / mo |
| 1,000,000 reqs/mo (Scale SaaS) | $4,910.00 | $5,260.00 | Save $350.00 / mo |
Qwen 2.5 Coder 32B is 7% cheaper for Document summarization workloads. At standard Document summarization parameter ratios (25,000 input tokens, 600 output tokens, 10% cache hit), Qwen 2.5 Coder 32B costs $0.00491 per request compared to $0.00526 on MiniMax-01 (4M Context).
Qwen 2.5 Coder 32B offers a context window of 128,000 tokens (max output: 8,192), while MiniMax-01 (4M Context) offers 4,000,000 tokens (max output: 64,000).
At 100,000 requests per month, using Qwen 2.5 Coder 32B saves $35.00 every month (or $420.00 annually) compared to MiniMax-01 (4M Context).
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.