Simulating realistic AI coding assistant parameters (12,000 in / 2,000 out with 60% cache reuse). GPT-5.6 Sol Pro (OpenRouter) delivers a 8% cost reduction over Cohere Command A+.
| Traffic Volume Tier | Cohere Command A+ Monthly | GPT-5.6 Sol Pro (OpenRouter) Monthly | Monthly Savings by picking GPT-5.6 Sol Pro (OpenRouter) |
|---|---|---|---|
| 1,000 reqs/mo (Dev/Testing) | $33.80 | $31.04 | Save $2.76 / mo |
| 10,000 reqs/mo (Small App) | $338.00 | $310.40 | Save $27.60 / mo |
| 100,000 reqs/mo (Growth Production) | $3,380.00 | $3,104.00 | Save $276.00 / mo |
| 1,000,000 reqs/mo (Scale SaaS) | $33,800.00 | $31,040.00 | Save $2,760.00 / mo |
GPT-5.6 Sol Pro (OpenRouter) is 8% cheaper for AI coding assistant workloads. At standard AI coding assistant parameter ratios (12,000 input tokens, 2,000 output tokens, 60% cache hit), GPT-5.6 Sol Pro (OpenRouter) costs $0.031 per request compared to $0.0338 on Cohere Command A+.
Cohere Command A+ offers a context window of 128,000 tokens (max output: 8,192), while GPT-5.6 Sol Pro (OpenRouter) offers 1,050,000 tokens (max output: 128,000).
At 100,000 requests per month, using GPT-5.6 Sol Pro (OpenRouter) saves $276.00 every month (or $3,312.00 annually) compared to Cohere Command A+.
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.