Simulating realistic Agentic workflow parameters (40,000 in / 1,500 out with 65% cache reuse). Cohere Command A+ delivers a 56% cost reduction over GPT-5.6 Sol.
Quick answer
For Agentic workflow, Cohere Command A+ is the lower-cost option at $0.0565 per request versus $0.128 for GPT-5.6 Sol, a modeled saving of 56%.
Method & trust
The comparison uses 40,000 input tokens, 1,500 output tokens, and 65% cache reuse for the selected workload. Pricing is applied per model, then scaled to monthly request volumes.
| 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) | $56.50 | $128.00 | Save $71.50 / mo |
| 10,000 reqs/mo (Small App) | $565.00 | $1,280.00 | Save $715.00 / mo |
| 100,000 reqs/mo (Growth Production) | $5,650.00 | $12,800.00 | Save $7,150.00 / mo |
| 1,000,000 reqs/mo (Scale SaaS) | $56,500.00 | $128,000.00 | Save $71,500.00 / mo |
Cohere Command A+ is 56% cheaper for Agentic workflow workloads. At standard Agentic workflow parameter ratios (40,000 input tokens, 1,500 output tokens, 65% cache hit), Cohere Command A+ costs $0.0565 per request compared to $0.128 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 $7,150.00 every month (or $85,800.00 annually) compared to GPT-5.6 Sol.
Prompt caching is the single biggest lever — each step re-reads prior context. Summarize or prune tool outputs before appending them to the transcript. Cap the step budget; runaway loops are the #1 surprise on agent invoices.