Simulating realistic AI coding assistant parameters (12,000 in / 2,000 out with 60% cache reuse). Cohere Command A+ delivers a 61% 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) | $33.80 | $87.60 | Save $53.80 / mo |
| 10,000 reqs/mo (Small App) | $338.00 | $876.00 | Save $538.00 / mo |
| 100,000 reqs/mo (Growth Production) | $3,380.00 | $8,760.00 | Save $5,380.00 / mo |
| 1,000,000 reqs/mo (Scale SaaS) | $33,800.00 | $87,600.00 | Save $53,800.00 / mo |
Cohere Command A+ is 61% cheaper for AI coding assistant workloads. At standard AI coding assistant parameter ratios (12,000 input tokens, 2,000 output tokens, 60% cache hit), Cohere Command A+ costs $0.0338 per request compared to $0.0876 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 $5,380.00 every month (or $64,560.00 annually) compared to GPT-5.6 Sol.
Output is the expensive side — prefer models with cheap output for autocomplete-style calls. Cache repository context between keystrokes; diffs change far less than the full file. Measure acceptance rate: paying for output users delete is pure waste.