Simulating realistic Data extraction & tagging parameters (2,000 in / 250 out with 20% cache reuse). GPT-5.6 Sol Pro (OpenRouter) delivers a 89% cost reduction over o3-pro (Frontier Reasoning).
| Traffic Volume Tier | o3-pro (Frontier Reasoning) Monthly | GPT-5.6 Sol Pro (OpenRouter) Monthly | Monthly Savings by picking GPT-5.6 Sol Pro (OpenRouter) |
|---|---|---|---|
| 1,000 reqs/mo (Dev/Testing) | $52.80 | $5.78 | Save $47.02 / mo |
| 10,000 reqs/mo (Small App) | $528.00 | $57.80 | Save $470.20 / mo |
| 100,000 reqs/mo (Growth Production) | $5,280.00 | $578.00 | Save $4,702.00 / mo |
| 1,000,000 reqs/mo (Scale SaaS) | $52,800.00 | $5,780.00 | Save $47,020.00 / mo |
GPT-5.6 Sol Pro (OpenRouter) is 89% cheaper for Data extraction & tagging workloads. At standard Data extraction & tagging parameter ratios (2,000 input tokens, 250 output tokens, 20% cache hit), GPT-5.6 Sol Pro (OpenRouter) costs $0.00578 per request compared to $0.0528 on o3-pro (Frontier Reasoning).
o3-pro (Frontier Reasoning) offers a context window of 1,000,000 tokens (max output: 128,000), while GPT-5.6 Sol Pro (OpenRouter) offers 1,050,000 tokens (max output: 128,000).
At 100,000 requests per month, using GPT-5.6 Sol Pro (OpenRouter) saves $4,702.00 every month (or $56,424.00 annually) compared to o3-pro (Frontier Reasoning).
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.