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DeepSeek: DeepSeek V3 API Pricing

DeepSeek: DeepSeek V3 costs $0.257 per 1M input tokens and $1.03 per 1M output tokens. Context window: 164K. Prices verified 2026-10-21 · source

🔔 Price alerts coming soon

Alternatives to consider

🏠 Same provider
DeepSeek: DeepSeek V4.1 Flash (batch)
$0.050 in / $0.150 out
Quality score: 24.7

Cheapest deepseek model — 83% less per month

Price history
2026-08-23 → 2026-10-21 · 59 daily snapshots
inputoutput

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

Community adoption
1.4M
HF downloads
4K
Likes

High adoption means battle-tested weights, more fine-tunes/quants, and faster bug fixes. View on HuggingFace →

Pricing behavior
16 price changes in the last 59 daily snapshots
Changes roughly every 6.7 days
Last move (2026-10-20): input -19.6%

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

Input / 1M tokens
$0.257
Output / 1M tokens
$1.03
Context window
164K
Max output
16K
Knowledge cutoff
2024-07-31

Training data ends here — newer events require retrieval or web search.

What would DeepSeek: DeepSeek V3 cost you per month?

WorkloadRequests/moAvg tokens (in/out)Est. monthly cost
Light chatbot10,000800 / 400$6.17
Coding agent5,0008,000 / 2,000$20.58
RAG pipeline30,0004,000 / 500$46.32
Doc summarizer2,00020,000 / 1,000$12.35

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

About DeepSeek: DeepSeek V3

DeepSeek-V3 is the latest model from the DeepSeek team, building upon the instruction following and coding abilities of the previous versions. Pre-trained on nearly 15 trillion tokens, the reported evaluations...

Compare DeepSeek: DeepSeek V3 with

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

Frequently asked questions

How much does DeepSeek: DeepSeek V3 cost?

DeepSeek: DeepSeek V3 costs $0.257 per 1M input tokens and $1.03 per 1M output tokens. Verified 2026-10-21 — provider source.

What is the context window?

164K tokens, with up to 16K output tokens per response. That's roughly 205 pages of text in a single request.

Does it support prompt caching?

Prompt-caching pricing is not published for this model via OpenRouter.

What's a cheaper alternative?

ScaleDown: Summarize saves about 94% on a typical workload with comparable quality.

Official resources