Simulating realistic Data extraction & tagging parameters (2,000 in / 250 out with 20% cache reuse). Codestral 2508 (OpenRouter) delivers a 77% cost reduction over o3-mini.
| Traffic Volume Tier | o3-mini Monthly | Codestral 2508 (OpenRouter) Monthly | Monthly Savings by picking Codestral 2508 (OpenRouter) |
|---|---|---|---|
| 1,000 reqs/mo (Dev/Testing) | $3.08 | $0.717 | Save $2.363 / mo |
| 10,000 reqs/mo (Small App) | $30.80 | $7.17 | Save $23.63 / mo |
| 100,000 reqs/mo (Growth Production) | $308.00 | $71.70 | Save $236.30 / mo |
| 1,000,000 reqs/mo (Scale SaaS) | $3,080.00 | $717.00 | Save $2,363.00 / mo |
Codestral 2508 (OpenRouter) is 77% cheaper for Data extraction & tagging workloads. At standard Data extraction & tagging parameter ratios (2,000 input tokens, 250 output tokens, 20% cache hit), Codestral 2508 (OpenRouter) costs $0.000717 per request compared to $0.00308 on o3-mini.
o3-mini offers a context window of 200,000 tokens (max output: 100,000), while Codestral 2508 (OpenRouter) offers 256,000 tokens (max output: 204,800).
At 100,000 requests per month, using Codestral 2508 (OpenRouter) saves $236.30 every month (or $2,835.60 annually) compared to o3-mini.
Volume makes nano-tier models attractive — extraction rarely needs frontier reasoning. Constrain output with JSON schema modes to avoid retry loops on malformed responses. Cache shared schema instructions and few-shot examples across calls.