Simulating realistic Translation parameters (5,000 in / 5,500 out with 15% cache reuse). QwQ 32B (Reasoner) delivers a 43% cost reduction over DeepSeek R1 (Reasoner).
Quick answer
For Translation, QwQ 32B (Reasoner) is the lower-cost option at $0.00833 per request versus $0.0145 for DeepSeek R1 (Reasoner), a modeled saving of 43%.
Method & trust
The comparison uses 5,000 input tokens, 5,500 output tokens, and 15% cache reuse for the selected workload. Pricing is applied per model, then scaled to monthly request volumes.
| Traffic Volume Tier | QwQ 32B (Reasoner) Monthly | DeepSeek R1 (Reasoner) Monthly | Monthly Savings by picking QwQ 32B (Reasoner) |
|---|---|---|---|
| 1,000 reqs/mo (Dev/Testing) | $8.33 | $14.487 | Save $6.158 / mo |
| 10,000 reqs/mo (Small App) | $83.30 | $144.875 | Save $61.575 / mo |
| 100,000 reqs/mo (Growth Production) | $833.00 | $1,448.75 | Save $615.75 / mo |
| 1,000,000 reqs/mo (Scale SaaS) | $8,330.00 | $14,487.50 | Save $6,157.50 / mo |
QwQ 32B (Reasoner) is 43% cheaper for Translation workloads. At standard Translation parameter ratios (5,000 input tokens, 5,500 output tokens, 15% cache hit), QwQ 32B (Reasoner) costs $0.00833 per request compared to $0.0145 on DeepSeek R1 (Reasoner).
QwQ 32B (Reasoner) offers a context window of 128,000 tokens (max output: 32,768), while DeepSeek R1 (Reasoner) offers 64,000 tokens (max output: 8,000).
At 100,000 requests per month, using QwQ 32B (Reasoner) saves $615.75 every month (or $7,389.00 annually) compared to DeepSeek R1 (Reasoner).
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.