Simulating realistic AI coding assistant parameters (12,000 in / 2,000 out with 60% cache reuse). Qwen 3 32B Instruct delivers a 95% cost reduction over Claude Opus 5.
| Traffic Volume Tier | Claude Opus 5 Monthly | Qwen 3 32B Instruct Monthly | Monthly Savings by picking Qwen 3 32B Instruct |
|---|---|---|---|
| 1,000 reqs/mo (Dev/Testing) | $77.60 | $3.808 | Save $73.792 / mo |
| 10,000 reqs/mo (Small App) | $776.00 | $38.08 | Save $737.92 / mo |
| 100,000 reqs/mo (Growth Production) | $7,760.00 | $380.80 | Save $7,379.20 / mo |
| 1,000,000 reqs/mo (Scale SaaS) | $77,600.00 | $3,808.00 | Save $73,792.00 / mo |
Qwen 3 32B Instruct is 95% cheaper for AI coding assistant workloads. At standard AI coding assistant parameter ratios (12,000 input tokens, 2,000 output tokens, 60% cache hit), Qwen 3 32B Instruct costs $0.003808 per request compared to $0.0776 on Claude Opus 5.
Claude Opus 5 offers a context window of 1,000,000 tokens (max output: 128,000), while Qwen 3 32B Instruct offers 128,000 tokens (max output: 16,384).
At 100,000 requests per month, using Qwen 3 32B Instruct saves $7,379.20 every month (or $88,550.40 annually) compared to Claude Opus 5.
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.