Simulating realistic Translation parameters (5,000 in / 5,500 out with 15% cache reuse). Cohere Command A+ delivers a 86% cost reduction over GPT-5.6 Cyber.
| Traffic Volume Tier | GPT-5.6 Cyber Monthly | Cohere Command A+ Monthly | Monthly Savings by picking Cohere Command A+ |
|---|---|---|---|
| 1,000 reqs/mo (Dev/Testing) | $466.563 | $65.813 | Save $400.75 / mo |
| 10,000 reqs/mo (Small App) | $4,665.625 | $658.125 | Save $4,007.50 / mo |
| 100,000 reqs/mo (Growth Production) | $46,656.25 | $6,581.25 | Save $40,075.00 / mo |
| 1,000,000 reqs/mo (Scale SaaS) | $466,562.50 | $65,812.50 | Save $400,750.00 / mo |
Cohere Command A+ is 86% 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 $0.4666 on GPT-5.6 Cyber.
GPT-5.6 Cyber offers a context window of 1,050,000 tokens (max output: 128,000), while Cohere Command A+ offers 128,000 tokens (max output: 8,192).
At 100,000 requests per month, using Cohere Command A+ saves $40,075.00 every month (or $480,900.00 annually) compared to GPT-5.6 Cyber.
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.