Simulating realistic Content generation parameters (800 in / 1,200 out with 30% cache reuse). Codestral 2501 delivers a 74% cost reduction over NVIDIA Nemotron-4 340B.
| Traffic Volume Tier | Codestral 2501 Monthly | NVIDIA Nemotron-4 340B Monthly | Monthly Savings by picking Codestral 2501 |
|---|---|---|---|
| 1,000 reqs/mo (Dev/Testing) | $1.255 | $4.80 | Save $3.545 / mo |
| 10,000 reqs/mo (Small App) | $12.552 | $48.00 | Save $35.448 / mo |
| 100,000 reqs/mo (Growth Production) | $125.52 | $480.00 | Save $354.48 / mo |
| 1,000,000 reqs/mo (Scale SaaS) | $1,255.20 | $4,800.00 | Save $3,544.80 / mo |
Codestral 2501 is 74% cheaper for Content generation workloads. At standard Content generation parameter ratios (800 input tokens, 1,200 output tokens, 30% cache hit), Codestral 2501 costs $0.001255 per request compared to $0.0048 on NVIDIA Nemotron-4 340B.
Codestral 2501 offers a context window of 256,000 tokens (max output: 8,192), while NVIDIA Nemotron-4 340B offers 128,000 tokens (max output: 4,096).
At 100,000 requests per month, using Codestral 2501 saves $354.48 every month (or $4,253.76 annually) compared to NVIDIA Nemotron-4 340B.
Output-heavy workloads favor models with a low output price, not a low input price. Batch similar generation tasks with shared style prompts to exploit caching. Draft with a cheap tier, refine the winners with a premium model.