Simulating realistic Translation parameters (5,000 in / 5,500 out with 15% cache reuse). Qwen 2.5 Coder 32B delivers a 70% cost reduction over Devstral 2 (2512) (OpenRouter).
| Traffic Volume Tier | Qwen 2.5 Coder 32B Monthly | Devstral 2 (2512) (OpenRouter) Monthly | Monthly Savings by picking Qwen 2.5 Coder 32B |
|---|---|---|---|
| 1,000 reqs/mo (Dev/Testing) | $4.165 | $14.003 | Save $9.838 / mo |
| 10,000 reqs/mo (Small App) | $41.65 | $140.03 | Save $98.38 / mo |
| 100,000 reqs/mo (Growth Production) | $416.50 | $1,400.30 | Save $983.80 / mo |
| 1,000,000 reqs/mo (Scale SaaS) | $4,165.00 | $14,003.00 | Save $9,838.00 / mo |
Qwen 2.5 Coder 32B is 70% cheaper for Translation workloads. At standard Translation parameter ratios (5,000 input tokens, 5,500 output tokens, 15% cache hit), Qwen 2.5 Coder 32B costs $0.004165 per request compared to $0.014 on Devstral 2 (2512) (OpenRouter).
Qwen 2.5 Coder 32B offers a context window of 128,000 tokens (max output: 8,192), while Devstral 2 (2512) (OpenRouter) offers 262,144 tokens (max output: 209,715).
At 100,000 requests per month, using Qwen 2.5 Coder 32B saves $983.80 every month (or $11,805.60 annually) compared to Devstral 2 (2512) (OpenRouter).
Output length ≈ input length; budget both sides of the request. Japanese and Chinese text typically costs more per word than English due to tokenization. Cache translation memories and glossaries embedded in the prompt.