Simulating realistic AI coding assistant parameters (12,000 in / 2,000 out with 60% cache reuse). Devstral 2 (2512) (OpenRouter) delivers a 80% cost reduction over Cohere Command A+.
| Traffic Volume Tier | Cohere Command A+ Monthly | Devstral 2 (2512) (OpenRouter) Monthly | Monthly Savings by picking Devstral 2 (2512) (OpenRouter) |
|---|---|---|---|
| 1,000 reqs/mo (Dev/Testing) | $33.80 | $6.829 | Save $26.971 / mo |
| 10,000 reqs/mo (Small App) | $338.00 | $68.288 | Save $269.712 / mo |
| 100,000 reqs/mo (Growth Production) | $3,380.00 | $682.88 | Save $2,697.12 / mo |
| 1,000,000 reqs/mo (Scale SaaS) | $33,800.00 | $6,828.80 | Save $26,971.20 / mo |
Devstral 2 (2512) (OpenRouter) is 80% cheaper for AI coding assistant workloads. At standard AI coding assistant parameter ratios (12,000 input tokens, 2,000 output tokens, 60% cache hit), Devstral 2 (2512) (OpenRouter) costs $0.006829 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 Devstral 2 (2512) (OpenRouter) offers 262,144 tokens (max output: 209,715).
At 100,000 requests per month, using Devstral 2 (2512) (OpenRouter) saves $2,697.12 every month (or $32,365.44 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.