Simulating realistic Data extraction & tagging parameters (2,000 in / 250 out with 20% cache reuse). DeepSeek R1 (Reasoner) delivers a 75% cost reduction over Perplexity Sonar Reasoning Pro.
| Traffic Volume Tier | Perplexity Sonar Reasoning Pro Monthly | DeepSeek R1 (Reasoner) Monthly | Monthly Savings by picking DeepSeek R1 (Reasoner) |
|---|---|---|---|
| 1,000 reqs/mo (Dev/Testing) | $6.00 | $1.484 | Save $4.517 / mo |
| 10,000 reqs/mo (Small App) | $60.00 | $14.835 | Save $45.165 / mo |
| 100,000 reqs/mo (Growth Production) | $600.00 | $148.35 | Save $451.65 / mo |
| 1,000,000 reqs/mo (Scale SaaS) | $6,000.00 | $1,483.50 | Save $4,516.50 / mo |
DeepSeek R1 (Reasoner) is 75% cheaper for Data extraction & tagging workloads. At standard Data extraction & tagging parameter ratios (2,000 input tokens, 250 output tokens, 20% cache hit), DeepSeek R1 (Reasoner) costs $0.001484 per request compared to $0.006 on Perplexity Sonar Reasoning Pro.
Perplexity Sonar Reasoning Pro offers a context window of 127,072 tokens (max output: 8,192), while DeepSeek R1 (Reasoner) offers 64,000 tokens (max output: 8,000).
At 100,000 requests per month, using DeepSeek R1 (Reasoner) saves $451.65 every month (or $5,419.80 annually) compared to Perplexity Sonar Reasoning 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.