Simulating realistic Data extraction & tagging parameters (2,000 in / 250 out with 20% cache reuse). OpenRouter Auto-Best Router delivers a 82% cost reduction over GPT-5.6 Sol.
| Traffic Volume Tier | GPT-5.6 Sol Monthly | OpenRouter Auto-Best Router Monthly | Monthly Savings by picking OpenRouter Auto-Best Router |
|---|---|---|---|
| 1,000 reqs/mo (Dev/Testing) | $15.70 | $2.75 | Save $12.95 / mo |
| 10,000 reqs/mo (Small App) | $157.00 | $27.50 | Save $129.50 / mo |
| 100,000 reqs/mo (Growth Production) | $1,570.00 | $275.00 | Save $1,295.00 / mo |
| 1,000,000 reqs/mo (Scale SaaS) | $15,700.00 | $2,750.00 | Save $12,950.00 / mo |
OpenRouter Auto-Best Router is 82% cheaper for Data extraction & tagging workloads. At standard Data extraction & tagging parameter ratios (2,000 input tokens, 250 output tokens, 20% cache hit), OpenRouter Auto-Best Router costs $0.00275 per request compared to $0.0157 on GPT-5.6 Sol.
GPT-5.6 Sol offers a context window of 1,050,000 tokens (max output: 128,000), while OpenRouter Auto-Best Router offers 1,000,000 tokens (max output: 32,768).
At 100,000 requests per month, using OpenRouter Auto-Best Router saves $1,295.00 every month (or $15,540.00 annually) compared to GPT-5.6 Sol.
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.