Simulating realistic AI coding assistant parameters (12,000 in / 2,000 out with 60% cache reuse). MiniMax M3 (OpenRouter) delivers a 87% cost reduction over Cohere Command A+.
| Traffic Volume Tier | Cohere Command A+ Monthly | MiniMax M3 (OpenRouter) Monthly | Monthly Savings by picking MiniMax M3 (OpenRouter) |
|---|---|---|---|
| 1,000 reqs/mo (Dev/Testing) | $33.80 | $4.272 | Save $29.528 / mo |
| 10,000 reqs/mo (Small App) | $338.00 | $42.72 | Save $295.28 / mo |
| 100,000 reqs/mo (Growth Production) | $3,380.00 | $427.20 | Save $2,952.80 / mo |
| 1,000,000 reqs/mo (Scale SaaS) | $33,800.00 | $4,272.00 | Save $29,528.00 / mo |
MiniMax M3 (OpenRouter) is 87% cheaper for AI coding assistant workloads. At standard AI coding assistant parameter ratios (12,000 input tokens, 2,000 output tokens, 60% cache hit), MiniMax M3 (OpenRouter) costs $0.004272 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 MiniMax M3 (OpenRouter) offers 1,048,576 tokens (max output: 512,000).
At 100,000 requests per month, using MiniMax M3 (OpenRouter) saves $2,952.80 every month (or $35,433.60 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.