Simulating realistic AI coding assistant parameters (12,000 in / 2,000 out with 60% cache reuse). Grok Build 0.1 delivers a 77% cost reduction over GPT-5.4 Workhorse.
| Traffic Volume Tier | GPT-5.4 Workhorse Monthly | Grok Build 0.1 Monthly | Monthly Savings by picking Grok Build 0.1 |
|---|---|---|---|
| 1,000 reqs/mo (Dev/Testing) | $43.80 | $10.24 | Save $33.56 / mo |
| 10,000 reqs/mo (Small App) | $438.00 | $102.40 | Save $335.60 / mo |
| 100,000 reqs/mo (Growth Production) | $4,380.00 | $1,024.00 | Save $3,356.00 / mo |
| 1,000,000 reqs/mo (Scale SaaS) | $43,800.00 | $10,240.00 | Save $33,560.00 / mo |
Grok Build 0.1 is 77% 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 $0.0438 on GPT-5.4 Workhorse.
GPT-5.4 Workhorse offers a context window of 256,000 tokens (max output: 32,768), 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 $3,356.00 every month (or $40,272.00 annually) compared to GPT-5.4 Workhorse.
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.