Simulating realistic Data extraction & tagging parameters (2,000 in / 250 out with 20% cache reuse). DeepSeek V4 Pro delivers a 78% cost reduction over Claude Opus 5.
| Traffic Volume Tier | Claude Opus 5 Monthly | DeepSeek V4 Pro Monthly | Monthly Savings by picking DeepSeek V4 Pro |
|---|---|---|---|
| 1,000 reqs/mo (Dev/Testing) | $14.45 | $3.12 | Save $11.33 / mo |
| 10,000 reqs/mo (Small App) | $144.50 | $31.196 | Save $113.304 / mo |
| 100,000 reqs/mo (Growth Production) | $1,445.00 | $311.96 | Save $1,133.04 / mo |
| 1,000,000 reqs/mo (Scale SaaS) | $14,450.00 | $3,119.60 | Save $11,330.40 / mo |
DeepSeek V4 Pro is 78% cheaper for Data extraction & tagging workloads. At standard Data extraction & tagging parameter ratios (2,000 input tokens, 250 output tokens, 20% cache hit), DeepSeek V4 Pro costs $0.00312 per request compared to $0.0145 on Claude Opus 5.
Claude Opus 5 offers a context window of 1,000,000 tokens (max output: 128,000), while DeepSeek V4 Pro offers 1,000,000 tokens (max output: 384,000).
At 100,000 requests per month, using DeepSeek V4 Pro saves $1,133.04 every month (or $13,596.48 annually) compared to Claude Opus 5.
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.