Simulating realistic Data extraction & tagging parameters (2,000 in / 250 out with 20% cache reuse). Qwen 3 32B Instruct delivers a 91% cost reduction over Perplexity Sonar Pro.
| Traffic Volume Tier | Qwen 3 32B Instruct Monthly | Perplexity Sonar Pro Monthly | Monthly Savings by picking Qwen 3 32B Instruct |
|---|---|---|---|
| 1,000 reqs/mo (Dev/Testing) | $0.856 | $9.75 | Save $8.894 / mo |
| 10,000 reqs/mo (Small App) | $8.56 | $97.50 | Save $88.94 / mo |
| 100,000 reqs/mo (Growth Production) | $85.60 | $975.00 | Save $889.40 / mo |
| 1,000,000 reqs/mo (Scale SaaS) | $856.00 | $9,750.00 | Save $8,894.00 / mo |
Qwen 3 32B Instruct is 91% cheaper for Data extraction & tagging workloads. At standard Data extraction & tagging parameter ratios (2,000 input tokens, 250 output tokens, 20% cache hit), Qwen 3 32B Instruct costs $0.000856 per request compared to $0.00975 on Perplexity Sonar Pro.
Qwen 3 32B Instruct offers a context window of 128,000 tokens (max output: 16,384), while Perplexity Sonar Pro offers 200,000 tokens (max output: 8,192).
At 100,000 requests per month, using Qwen 3 32B Instruct saves $889.40 every month (or $10,672.80 annually) compared to Perplexity Sonar Pro.
Volume makes nano-tier models attractive — extraction rarely needs frontier reasoning. Constrain output with JSON schema modes to avoid retry loops on malformed responses. Cache shared schema instructions and few-shot examples across calls.