Simulating realistic AI coding assistant parameters (12,000 in / 2,000 out with 60% cache reuse). GPT-5.6 Sol delivers a 44% cost reduction over Claude Fable 5.
| Traffic Volume Tier | GPT-5.6 Sol Monthly | Claude Fable 5 Monthly | Monthly Savings by picking GPT-5.6 Sol |
|---|---|---|---|
| 1,000 reqs/mo (Dev/Testing) | $87.60 | $155.20 | Save $67.60 / mo |
| 10,000 reqs/mo (Small App) | $876.00 | $1,552.00 | Save $676.00 / mo |
| 100,000 reqs/mo (Growth Production) | $8,760.00 | $15,520.00 | Save $6,760.00 / mo |
| 1,000,000 reqs/mo (Scale SaaS) | $87,600.00 | $155,200.00 | Save $67,600.00 / mo |
GPT-5.6 Sol is 44% cheaper for AI coding assistant workloads. At standard AI coding assistant parameter ratios (12,000 input tokens, 2,000 output tokens, 60% cache hit), GPT-5.6 Sol costs $0.0876 per request compared to $0.1552 on Claude Fable 5.
GPT-5.6 Sol offers a context window of 1,050,000 tokens (max output: 128,000), while Claude Fable 5 offers 1,000,000 tokens (max output: 128,000).
At 100,000 requests per month, using GPT-5.6 Sol saves $6,760.00 every month (or $81,120.00 annually) compared to Claude Fable 5.
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.