Simulating realistic Data extraction & tagging parameters (2,000 in / 250 out with 20% cache reuse). DeepSeek Coder V2.5 delivers a 76% cost reduction over Devstral 2 (2512) (OpenRouter).
| Traffic Volume Tier | DeepSeek Coder V2.5 Monthly | Devstral 2 (2512) (OpenRouter) Monthly | Monthly Savings by picking DeepSeek Coder V2.5 |
|---|---|---|---|
| 1,000 reqs/mo (Dev/Testing) | $0.2996 | $1.272 | Save $0.972 / mo |
| 10,000 reqs/mo (Small App) | $2.996 | $12.716 | Save $9.72 / mo |
| 100,000 reqs/mo (Growth Production) | $29.96 | $127.16 | Save $97.20 / mo |
| 1,000,000 reqs/mo (Scale SaaS) | $299.60 | $1,271.60 | Save $972.00 / mo |
DeepSeek Coder V2.5 is 76% cheaper for Data extraction & tagging workloads. At standard Data extraction & tagging parameter ratios (2,000 input tokens, 250 output tokens, 20% cache hit), DeepSeek Coder V2.5 costs $0.0003 per request compared to $0.001272 on Devstral 2 (2512) (OpenRouter).
DeepSeek Coder V2.5 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 DeepSeek Coder V2.5 saves $97.20 every month (or $1,166.40 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.