Simulating realistic RAG / search-augmented answers parameters (8,000 in / 500 out with 50% cache reuse). Cohere Command A+ delivers a 57% 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) | $16.00 | $37.00 | Save $21.00 / mo |
| 10,000 reqs/mo (Small App) | $160.00 | $370.00 | Save $210.00 / mo |
| 100,000 reqs/mo (Growth Production) | $1,600.00 | $3,700.00 | Save $2,100.00 / mo |
| 1,000,000 reqs/mo (Scale SaaS) | $16,000.00 | $37,000.00 | Save $21,000.00 / mo |
Cohere Command A+ is 57% cheaper for RAG / search-augmented answers workloads. At standard RAG / search-augmented answers parameter ratios (8,000 input tokens, 500 output tokens, 50% cache hit), Cohere Command A+ costs $0.016 per request compared to $0.037 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 $2,100.00 every month (or $25,200.00 annually) compared to GPT-5.6 Sol.
retrieved-context dominates cost — tune top-k and chunk size before switching models. Re-rank and drop marginal chunks; halving context roughly halves input cost. Deduplicate repeated chunks across queries to raise the cache hit rate.