Simulating realistic AI coding assistant parameters (12,000 in / 2,000 out with 60% cache reuse). Claude 3.7 Sonnet (Hybrid Reasoning) delivers a 47% cost reduction over GPT-5.6 Sol.
| Traffic Volume Tier | GPT-5.6 Sol Monthly | Claude 3.7 Sonnet (Hybrid Reasoning) Monthly | Monthly Savings by picking Claude 3.7 Sonnet (Hybrid Reasoning) |
|---|---|---|---|
| 1,000 reqs/mo (Dev/Testing) | $87.60 | $46.56 | Save $41.04 / mo |
| 10,000 reqs/mo (Small App) | $876.00 | $465.60 | Save $410.40 / mo |
| 100,000 reqs/mo (Growth Production) | $8,760.00 | $4,656.00 | Save $4,104.00 / mo |
| 1,000,000 reqs/mo (Scale SaaS) | $87,600.00 | $46,560.00 | Save $41,040.00 / mo |
Claude 3.7 Sonnet (Hybrid Reasoning) is 47% cheaper for AI coding assistant workloads. At standard AI coding assistant parameter ratios (12,000 input tokens, 2,000 output tokens, 60% cache hit), Claude 3.7 Sonnet (Hybrid Reasoning) costs $0.0466 per request compared to $0.0876 on GPT-5.6 Sol.
GPT-5.6 Sol offers a context window of 1,050,000 tokens (max output: 128,000), while Claude 3.7 Sonnet (Hybrid Reasoning) offers 200,000 tokens (max output: 64,000).
At 100,000 requests per month, using Claude 3.7 Sonnet (Hybrid Reasoning) saves $4,104.00 every month (or $49,248.00 annually) compared to GPT-5.6 Sol.
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.