Simulating realistic RAG / search-augmented answers parameters (8,000 in / 500 out with 50% cache reuse). Qwen3 Coder Next (OpenRouter) delivers a 34% cost reduction over Codestral 2501.
| Traffic Volume Tier | Codestral 2501 Monthly | Qwen3 Coder Next (OpenRouter) Monthly | Monthly Savings by picking Qwen3 Coder Next (OpenRouter) |
|---|---|---|---|
| 1,000 reqs/mo (Dev/Testing) | $1.77 | $1.16 | Save $0.61 / mo |
| 10,000 reqs/mo (Small App) | $17.70 | $11.60 | Save $6.10 / mo |
| 100,000 reqs/mo (Growth Production) | $177.00 | $116.00 | Save $61.00 / mo |
| 1,000,000 reqs/mo (Scale SaaS) | $1,770.00 | $1,160.00 | Save $610.00 / mo |
Qwen3 Coder Next (OpenRouter) is 34% cheaper for RAG / search-augmented answers workloads. At standard RAG / search-augmented answers parameter ratios (8,000 input tokens, 500 output tokens, 50% cache hit), Qwen3 Coder Next (OpenRouter) costs $0.00116 per request compared to $0.00177 on Codestral 2501.
Codestral 2501 offers a context window of 256,000 tokens (max output: 8,192), while Qwen3 Coder Next (OpenRouter) offers 262,144 tokens (max output: 235,929).
At 100,000 requests per month, using Qwen3 Coder Next (OpenRouter) saves $61.00 every month (or $732.00 annually) compared to Codestral 2501.
retrieved-context dominates cost — tune top-k and chunk size before switching models. Re-rank and drop marginal chunks; halving context roughly halves input cost. Deduplicate repeated chunks across queries to raise the cache hit rate.