Simulating realistic Translation parameters (5,000 in / 5,500 out with 15% cache reuse). Cohere Command A+ delivers a 65% cost reduction over GPT-5.6 Sol.
| Traffic Volume Tier | Cohere Command A+ Monthly | GPT-5.6 Sol Monthly | Monthly Savings by picking Cohere Command A+ |
|---|---|---|---|
| 1,000 reqs/mo (Dev/Testing) | $65.813 | $186.625 | Save $120.812 / mo |
| 10,000 reqs/mo (Small App) | $658.125 | $1,866.25 | Save $1,208.125 / mo |
| 100,000 reqs/mo (Growth Production) | $6,581.25 | $18,662.50 | Save $12,081.25 / mo |
| 1,000,000 reqs/mo (Scale SaaS) | $65,812.50 | $186,625.00 | Save $120,812.50 / mo |
Cohere Command A+ is 65% cheaper for Translation workloads. At standard Translation parameter ratios (5,000 input tokens, 5,500 output tokens, 15% cache hit), Cohere Command A+ costs $0.0658 per request compared to $0.1866 on GPT-5.6 Sol.
Cohere Command A+ offers a context window of 128,000 tokens (max output: 8,192), while GPT-5.6 Sol offers 1,050,000 tokens (max output: 128,000).
At 100,000 requests per month, using Cohere Command A+ saves $12,081.25 every month (or $144,975.00 annually) compared to GPT-5.6 Sol.
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.