Simulating realistic AI coding assistant parameters (12,000 in / 2,000 out with 60% cache reuse). OpenRouter Auto-Best Router delivers a 92% cost reduction over GPT-5.6 Cyber.
| Traffic Volume Tier | GPT-5.6 Cyber Monthly | OpenRouter Auto-Best Router Monthly | Monthly Savings by picking OpenRouter Auto-Best Router |
|---|---|---|---|
| 1,000 reqs/mo (Dev/Testing) | $219.00 | $18.00 | Save $201.00 / mo |
| 10,000 reqs/mo (Small App) | $2,190.00 | $180.00 | Save $2,010.00 / mo |
| 100,000 reqs/mo (Growth Production) | $21,900.00 | $1,800.00 | Save $20,100.00 / mo |
| 1,000,000 reqs/mo (Scale SaaS) | $219,000.00 | $18,000.00 | Save $201,000.00 / mo |
OpenRouter Auto-Best Router is 92% cheaper for AI coding assistant workloads. At standard AI coding assistant parameter ratios (12,000 input tokens, 2,000 output tokens, 60% cache hit), OpenRouter Auto-Best Router costs $0.018 per request compared to $0.219 on GPT-5.6 Cyber.
GPT-5.6 Cyber 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 $20,100.00 every month (or $241,200.00 annually) compared to GPT-5.6 Cyber.
Output is the expensive side — prefer models with cheap output for autocomplete-style calls. Cache repository context between keystrokes; diffs change far less than the full file. Measure acceptance rate: paying for output users delete is pure waste.