Simulating realistic Document summarization parameters (25,000 in / 600 out with 10% cache reuse). Cohere Command A+ delivers a 52% cost reduction over GPT-5.6 Sol.
Quick answer
For Document summarization, Cohere Command A+ is the lower-cost option at $0.0629 per request versus $0.1317 for GPT-5.6 Sol, a modeled saving of 52%.
Method & trust
The comparison uses 25,000 input tokens, 600 output tokens, and 10% 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) | $62.875 | $131.75 | Save $68.875 / mo |
| 10,000 reqs/mo (Small App) | $628.75 | $1,317.50 | Save $688.75 / mo |
| 100,000 reqs/mo (Growth Production) | $6,287.50 | $13,175.00 | Save $6,887.50 / mo |
| 1,000,000 reqs/mo (Scale SaaS) | $62,875.00 | $131,750.00 | Save $68,875.00 / mo |
Cohere Command A+ is 52% cheaper for Document summarization workloads. At standard Document summarization parameter ratios (25,000 input tokens, 600 output tokens, 10% cache hit), Cohere Command A+ costs $0.0629 per request compared to $0.1317 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 $6,887.50 every month (or $82,650.00 annually) compared to GPT-5.6 Sol.
Long-context models pay off here — compare price per 1M tokens at your true document size. Summarize once, store the result; don't re-summarize unchanged documents. For batch backfills, nightly jobs can use cache-friendly request ordering.