Simulating realistic AI coding assistant parameters (12,000 in / 2,000 out with 60% cache reuse). Grok Build 0.1 delivers a 88% cost reduction over GPT-5.5 Standard.
| Traffic Volume Tier | GPT-5.5 Standard Monthly | Grok Build 0.1 Monthly | Monthly Savings by picking Grok Build 0.1 |
|---|---|---|---|
| 1,000 reqs/mo (Dev/Testing) | $87.60 | $10.24 | Save $77.36 / mo |
| 10,000 reqs/mo (Small App) | $876.00 | $102.40 | Save $773.60 / mo |
| 100,000 reqs/mo (Growth Production) | $8,760.00 | $1,024.00 | Save $7,736.00 / mo |
| 1,000,000 reqs/mo (Scale SaaS) | $87,600.00 | $10,240.00 | Save $77,360.00 / mo |
Grok Build 0.1 is 88% cheaper for AI coding assistant workloads. At standard AI coding assistant parameter ratios (12,000 input tokens, 2,000 output tokens, 60% cache hit), Grok Build 0.1 costs $0.0102 per request compared to $0.0876 on GPT-5.5 Standard.
GPT-5.5 Standard offers a context window of 512,000 tokens (max output: 64,000), while Grok Build 0.1 offers 256,000 tokens (max output: 32,768).
At 100,000 requests per month, using Grok Build 0.1 saves $7,736.00 every month (or $92,832.00 annually) compared to GPT-5.5 Standard.
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.