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~deepseek

DeepSeek: DeepSeek Pro Latest API Pricing

DeepSeek: DeepSeek Pro Latest costs $0.225 per 1M input tokens and $8.00 per 1M output tokens (cache reads: $0.230). Context window: 1.0M. Prices verified 2026-10-21 · source

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Alternatives to consider

🏠 Same provider
DeepSeek: DeepSeek V4 Flash Latest
$0.048 in / $0.157 out

Cheapest ~deepseek model — 97% less per month

Price history
2026-09-15 → 2026-10-21 · 59 daily snapshots
inputoutputinput -65.9% over windowoutput +304%

Rebuilt daily from our snapshot archive — the chart appears once a model has 5+ snapshots of history.

Pricing behavior
52 price changes in the last 59 daily snapshots
Changes roughly every 1.1 days
Last move (2026-10-19): input +87.5%

From our own daily snapshot archive — independent of provider announcements.

Input / 1M tokens
$0.225
Output / 1M tokens
$8.00
Context window
1.0M
Max output
393K

Token economics

Token typePricevs base input
Standard input$0.225—
Cache read$0.230−-2%
Output$8.00—

Prompt caching stores repeated context server-side: reads cost far less, but writes carry a one-time premium.

Reasoning behavior
Mode: Off by default (opt-in)
Effort levels:maxhighlownone

Higher effort = deeper thinking = more reasoning tokens billed as output.

What would DeepSeek: DeepSeek Pro Latest cost you per month?

WorkloadRequests/moAvg tokens (in/out)Est. monthly cost
Light chatbot10,000800 / 400$33.80
Coding agent5,0008,000 / 2,000$89.00
RAG pipeline30,0004,000 / 500$147.00
Doc summarizer2,00020,000 / 1,000$25.00

Estimates use list prices without prompt caching. Caching can cut input cost by up to 90% on repeated context.

About DeepSeek: DeepSeek Pro Latest

This model always redirects to the latest model in the DeepSeek Pro family.

Compare DeepSeek: DeepSeek Pro Latest with

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Frequently asked questions

How much does DeepSeek: DeepSeek Pro Latest cost?

DeepSeek: DeepSeek Pro Latest costs $0.225 per 1M input tokens and $8.00 per 1M output tokens; cached input tokens cost $0.230 per 1M. Verified 2026-10-21 — provider source.

What is the context window?

1.0M tokens, with up to 393K output tokens per response. That's roughly 1311 pages of text in a single request.

Does it support prompt caching?

Yes — cached input is $0.230/1M, about -2% cheaper than standard input. Agents and RAG workloads with repeated context benefit most.

What's a cheaper alternative?

ScaleDown: Summarize saves about 99% on a typical workload with comparable quality.

Official resources