Simulating realistic Data extraction & tagging parameters (2,000 in / 250 out with 20% cache reuse). Devstral 2 (2512) (OpenRouter) delivers a 85% cost reduction over Claude 3.7 Sonnet (Hybrid Reasoning).
| Traffic Volume Tier | Claude 3.7 Sonnet (Hybrid Reasoning) Monthly | Devstral 2 (2512) (OpenRouter) Monthly | Monthly Savings by picking Devstral 2 (2512) (OpenRouter) |
|---|---|---|---|
| 1,000 reqs/mo (Dev/Testing) | $8.67 | $1.272 | Save $7.398 / mo |
| 10,000 reqs/mo (Small App) | $86.70 | $12.716 | Save $73.984 / mo |
| 100,000 reqs/mo (Growth Production) | $867.00 | $127.16 | Save $739.84 / mo |
| 1,000,000 reqs/mo (Scale SaaS) | $8,670.00 | $1,271.60 | Save $7,398.40 / mo |
Devstral 2 (2512) (OpenRouter) is 85% cheaper for Data extraction & tagging workloads. At standard Data extraction & tagging parameter ratios (2,000 input tokens, 250 output tokens, 20% cache hit), Devstral 2 (2512) (OpenRouter) costs $0.001272 per request compared to $0.00867 on Claude 3.7 Sonnet (Hybrid Reasoning).
Claude 3.7 Sonnet (Hybrid Reasoning) offers a context window of 200,000 tokens (max output: 64,000), while Devstral 2 (2512) (OpenRouter) offers 262,144 tokens (max output: 209,715).
At 100,000 requests per month, using Devstral 2 (2512) (OpenRouter) saves $739.84 every month (or $8,878.08 annually) compared to Claude 3.7 Sonnet (Hybrid Reasoning).
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.