Simulating realistic AI coding assistant parameters (12,000 in / 2,000 out with 60% cache reuse). Gemma 4 31B Instruct delivers a 90% cost reduction over Claude 3.5 Sonnet.
| Traffic Volume Tier | Claude 3.5 Sonnet Monthly | Gemma 4 31B Instruct Monthly | Monthly Savings by picking Gemma 4 31B Instruct |
|---|---|---|---|
| 1,000 reqs/mo (Dev/Testing) | $46.56 | $4.50 | Save $42.06 / mo |
| 10,000 reqs/mo (Small App) | $465.60 | $45.00 | Save $420.60 / mo |
| 100,000 reqs/mo (Growth Production) | $4,656.00 | $450.00 | Save $4,206.00 / mo |
| 1,000,000 reqs/mo (Scale SaaS) | $46,560.00 | $4,500.00 | Save $42,060.00 / mo |
Gemma 4 31B Instruct is 90% cheaper for AI coding assistant workloads. At standard AI coding assistant parameter ratios (12,000 input tokens, 2,000 output tokens, 60% cache hit), Gemma 4 31B Instruct costs $0.0045 per request compared to $0.0466 on Claude 3.5 Sonnet.
Claude 3.5 Sonnet offers a context window of 200,000 tokens (max output: 8,192), while Gemma 4 31B Instruct offers 128,000 tokens (max output: 8,192).
At 100,000 requests per month, using Gemma 4 31B Instruct saves $4,206.00 every month (or $50,472.00 annually) compared to Claude 3.5 Sonnet.
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.