Simulating realistic AI coding assistant parameters (12,000 in / 2,000 out with 60% cache reuse). Codestral 2501 delivers a 87% cost reduction over Gemini 3.5 Flash (OpenRouter).
| Traffic Volume Tier | Codestral 2501 Monthly | Gemini 3.5 Flash (OpenRouter) Monthly | Monthly Savings by picking Codestral 2501 |
|---|---|---|---|
| 1,000 reqs/mo (Dev/Testing) | $3.456 | $26.28 | Save $22.824 / mo |
| 10,000 reqs/mo (Small App) | $34.56 | $262.80 | Save $228.24 / mo |
| 100,000 reqs/mo (Growth Production) | $345.60 | $2,628.00 | Save $2,282.40 / mo |
| 1,000,000 reqs/mo (Scale SaaS) | $3,456.00 | $26,280.00 | Save $22,824.00 / mo |
Codestral 2501 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), Codestral 2501 costs $0.003456 per request compared to $0.0263 on Gemini 3.5 Flash (OpenRouter).
Codestral 2501 offers a context window of 256,000 tokens (max output: 8,192), while Gemini 3.5 Flash (OpenRouter) offers 1,048,576 tokens (max output: 65,536).
At 100,000 requests per month, using Codestral 2501 saves $2,282.40 every month (or $27,388.80 annually) compared to Gemini 3.5 Flash (OpenRouter).
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.