Simulating realistic Data extraction & tagging parameters (2,000 in / 250 out with 20% cache reuse). Qwen 2.5 Coder 32B delivers a 62% cost reduction over Devstral 2 (2512) (OpenRouter).
| Traffic Volume Tier | Qwen 2.5 Coder 32B Monthly | Devstral 2 (2512) (OpenRouter) Monthly | Monthly Savings by picking Qwen 2.5 Coder 32B |
|---|---|---|---|
| 1,000 reqs/mo (Dev/Testing) | $0.478 | $1.272 | Save $0.7936 / mo |
| 10,000 reqs/mo (Small App) | $4.78 | $12.716 | Save $7.936 / mo |
| 100,000 reqs/mo (Growth Production) | $47.80 | $127.16 | Save $79.36 / mo |
| 1,000,000 reqs/mo (Scale SaaS) | $478.00 | $1,271.60 | Save $793.60 / mo |
Qwen 2.5 Coder 32B is 62% cheaper for Data extraction & tagging workloads. At standard Data extraction & tagging parameter ratios (2,000 input tokens, 250 output tokens, 20% cache hit), Qwen 2.5 Coder 32B costs $0.000478 per request compared to $0.001272 on Devstral 2 (2512) (OpenRouter).
Qwen 2.5 Coder 32B offers a context window of 128,000 tokens (max output: 8,192), while Devstral 2 (2512) (OpenRouter) offers 262,144 tokens (max output: 209,715).
At 100,000 requests per month, using Qwen 2.5 Coder 32B saves $79.36 every month (or $952.32 annually) compared to Devstral 2 (2512) (OpenRouter).
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.