Lesson 09 · DeepSeek Mastery Pro+ ~12 min read Updated June 2026

Already cheap, now make it almost free.

DeepSeek is inexpensive out of the box. At volume, three techniques take the bill down by most of what remains. Here is the playbook.

01Caching — the biggest lever

If your requests share a stable prefix — a long system prompt, a reference document, a few-shot example set — context caching bills those repeated tokens at a fraction of the price. Structure prompts so the stable part comes first and changes least, and you cache the expensive bulk.

02Routing — Flash by default, Pro on demand

Send everything to Flash and escalate to Pro only when needed — either by task type or by a confidence check (if Flash flags uncertainty, retry on Pro). Most production traffic is Flash-appropriate; paying Pro prices for all of it is the most common waste.

03Batching — fewer, bigger calls

Group independent items into batched requests where possible, and reuse cached prefixes across them. Fewer round trips, more cache hits, lower overhead. For non-urgent jobs, batch overnight.

Stack them

Cache the stable context, route the easy 90% to Flash, batch the independent work, and reserve Pro for the genuinely hard calls. Together these routinely cut a real workload's spend by the large majority.

Frequently asked

DeepSeek — your questions, answered

How do I reduce DeepSeek API costs?
Stack three techniques: cache repeated prompt prefixes, route most traffic to Flash and escalate to Pro only when needed, and batch independent requests.
What is the best DeepSeek cost-saving technique?
Context caching — billing repeated prefixes (system prompts, reference docs) at a fraction of the price is usually the single biggest saving.
When should I route to V4 Pro instead of Flash?
Only for genuinely hard reasoning, or when a Flash answer flags low confidence. Defaulting everything to Pro is the most common source of overspend.
Does batching lower DeepSeek costs?
Yes — grouping independent items into fewer, larger calls reduces overhead and increases cache reuse, especially for non-urgent overnight jobs.