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DeepSeek: DeepSeek V4 Flash Latest API Pricing

DeepSeek: DeepSeek V4 Flash Latest costs $0.048 per 1M input tokens and $0.157 per 1M output tokens (cache reads: $0.028). Context window: 1.0M. Prices verified 2026-10-21 · source

🔔 Price alerts coming soon
Price history
2026-08-23 → 2026-10-21 · 59 daily snapshots
inputoutputinput +18.8% over windowoutput +96%

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

Pricing behavior
67 price changes in the last 59 daily snapshots
Changes roughly every 1.5 days
Last move (2026-10-21): input +869.4%
Net input drift: +18.8% since 2026-08-23

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

Input / 1M tokens
$0.048
Output / 1M tokens
$0.157
Context window
1.0M
Max output
944K

Token economics

Token typePricevs base input
Standard input$0.048—
Cache read$0.028−41%
Output$0.157—

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

Reasoning behavior
Mode: On by default (toggleable)
Effort levels:maxhighlownone

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

What would DeepSeek: DeepSeek V4 Flash Latest cost you per month?

WorkloadRequests/moAvg tokens (in/out)Est. monthly cost
Light chatbot10,000800 / 400$1.01
Coding agent5,0008,000 / 2,000$3.47
RAG pipeline30,0004,000 / 500$8.05
Doc summarizer2,00020,000 / 1,000$2.21

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

About DeepSeek: DeepSeek V4 Flash Latest

This model always redirects to the latest model in the DeepSeek V4 Flash family.

Compare DeepSeek: DeepSeek V4 Flash Latest with

Popular head-to-heads — see all on the comparisons index.

Frequently asked questions

How much does DeepSeek: DeepSeek V4 Flash Latest cost?

DeepSeek: DeepSeek V4 Flash Latest costs $0.048 per 1M input tokens and $0.157 per 1M output tokens; cached input tokens cost $0.028 per 1M. Verified 2026-10-21 — provider source.

What is the context window?

1.0M tokens, with up to 944K output tokens per response. That's roughly 1311 pages of text in a single request.

Does it support prompt caching?

Yes — cached input is $0.028/1M, about 41% cheaper than standard input. Agents and RAG workloads with repeated context benefit most.

What's a cheaper alternative?

inclusionAI: Ling 3.0 Flash saves about 58% on a typical workload with comparable quality.

Official resources