Simulating realistic AI coding assistant parameters (12,000 in / 2,000 out with 60% cache reuse). Amazon Nova Pro delivers a 33% cost reduction over GLM-5.1 (Z.ai).
| Traffic Volume Tier | Amazon Nova Pro Monthly | GLM-5.1 (Z.ai) Monthly | Monthly Savings by picking Amazon Nova Pro |
|---|---|---|---|
| 1,000 reqs/mo (Dev/Testing) | $11.68 | $17.392 | Save $5.712 / mo |
| 10,000 reqs/mo (Small App) | $116.80 | $173.92 | Save $57.12 / mo |
| 100,000 reqs/mo (Growth Production) | $1,168.00 | $1,739.20 | Save $571.20 / mo |
| 1,000,000 reqs/mo (Scale SaaS) | $11,680.00 | $17,392.00 | Save $5,712.00 / mo |
Amazon Nova Pro is 33% cheaper for AI coding assistant workloads. At standard AI coding assistant parameter ratios (12,000 input tokens, 2,000 output tokens, 60% cache hit), Amazon Nova Pro costs $0.0117 per request compared to $0.0174 on GLM-5.1 (Z.ai).
Amazon Nova Pro offers a context window of 300,000 tokens (max output: 5,000), while GLM-5.1 (Z.ai) offers 200,000 tokens (max output: 131,072).
At 100,000 requests per month, using Amazon Nova Pro saves $571.20 every month (or $6,854.40 annually) compared to GLM-5.1 (Z.ai).
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.