Simulating realistic Data extraction & tagging parameters (2,000 in / 250 out with 20% cache reuse). Grok 4.3 delivers a 12% cost reduction over o3-mini.
| Traffic Volume Tier | o3-mini Monthly | Grok 4.3 Monthly | Monthly Savings by picking Grok 4.3 |
|---|---|---|---|
| 1,000 reqs/mo (Dev/Testing) | $3.08 | $2.705 | Save $0.375 / mo |
| 10,000 reqs/mo (Small App) | $30.80 | $27.05 | Save $3.75 / mo |
| 100,000 reqs/mo (Growth Production) | $308.00 | $270.50 | Save $37.50 / mo |
| 1,000,000 reqs/mo (Scale SaaS) | $3,080.00 | $2,705.00 | Save $375.00 / mo |
Grok 4.3 is 12% cheaper for Data extraction & tagging workloads. At standard Data extraction & tagging parameter ratios (2,000 input tokens, 250 output tokens, 20% cache hit), Grok 4.3 costs $0.002705 per request compared to $0.00308 on o3-mini.
o3-mini offers a context window of 200,000 tokens (max output: 100,000), while Grok 4.3 offers 1,000,000 tokens (max output: 32,768).
At 100,000 requests per month, using Grok 4.3 saves $37.50 every month (or $450.00 annually) compared to o3-mini.
Volume makes nano-tier models attractive — extraction rarely needs frontier reasoning. Constrain output with JSON schema modes to avoid retry loops on malformed responses. Cache shared schema instructions and few-shot examples across calls.