Simulating realistic Translation parameters (5,000 in / 5,500 out with 15% cache reuse). Qwen 2.5 Coder 32B delivers a 33% cost reduction over Codestral 2501.
| Traffic Volume Tier | Qwen 2.5 Coder 32B Monthly | Codestral 2501 Monthly | Monthly Savings by picking Qwen 2.5 Coder 32B |
|---|---|---|---|
| 1,000 reqs/mo (Dev/Testing) | $4.165 | $6.248 | Save $2.083 / mo |
| 10,000 reqs/mo (Small App) | $41.65 | $62.475 | Save $20.825 / mo |
| 100,000 reqs/mo (Growth Production) | $416.50 | $624.75 | Save $208.25 / mo |
| 1,000,000 reqs/mo (Scale SaaS) | $4,165.00 | $6,247.50 | Save $2,082.50 / mo |
Qwen 2.5 Coder 32B is 33% 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 $0.006248 on Codestral 2501.
Qwen 2.5 Coder 32B offers a context window of 128,000 tokens (max output: 8,192), while Codestral 2501 offers 256,000 tokens (max output: 8,192).
At 100,000 requests per month, using Qwen 2.5 Coder 32B saves $208.25 every month (or $2,499.00 annually) compared to Codestral 2501.
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.