Simulating realistic AI coding assistant parameters (12,000 in / 2,000 out with 60% cache reuse). Qwen3 Coder Next (OpenRouter) delivers a 61% cost reduction over Devstral 2 (2512) (OpenRouter).
| Traffic Volume Tier | Devstral 2 (2512) (OpenRouter) Monthly | Qwen3 Coder Next (OpenRouter) Monthly | Monthly Savings by picking Qwen3 Coder Next (OpenRouter) |
|---|---|---|---|
| 1,000 reqs/mo (Dev/Testing) | $6.829 | $2.68 | Save $4.149 / mo |
| 10,000 reqs/mo (Small App) | $68.288 | $26.80 | Save $41.488 / mo |
| 100,000 reqs/mo (Growth Production) | $682.88 | $268.00 | Save $414.88 / mo |
| 1,000,000 reqs/mo (Scale SaaS) | $6,828.80 | $2,680.00 | Save $4,148.80 / mo |
Qwen3 Coder Next (OpenRouter) is 61% cheaper for AI coding assistant workloads. At standard AI coding assistant parameter ratios (12,000 input tokens, 2,000 output tokens, 60% cache hit), Qwen3 Coder Next (OpenRouter) costs $0.00268 per request compared to $0.006829 on Devstral 2 (2512) (OpenRouter).
Devstral 2 (2512) (OpenRouter) offers a context window of 262,144 tokens (max output: 209,715), while Qwen3 Coder Next (OpenRouter) offers 262,144 tokens (max output: 235,929).
At 100,000 requests per month, using Qwen3 Coder Next (OpenRouter) saves $414.88 every month (or $4,978.56 annually) compared to Devstral 2 (2512) (OpenRouter).
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.