DeepSeek V4 Pro pricing
$0.4350 per million input tokens, $0.8700 per million output. 1M token context window. Read from DeepSeek’s own documentation on August 3, 2026.
- Input
- $0.4350 per 1M tokens
- Cached input
- $0.003625 1% of base
- Output
- $0.8700 2.0× input
- Context window
- 1M verified
- Token counting
- Estimate o200k_base
- Price verified
- 2026-08-03 2 days ago
Source: DeepSeek pricing documentation. Prices change without notice — verify before committing spend.
What DeepSeek V4 Pro costs on real work
Four workload shapes at 100,000 requests a month. The point of showing four is that the ranking between models changes depending on which one describes you.
| Workload | In | Out | Per request | Per month |
|---|---|---|---|---|
| ClassificationShort input, one-word answer. Input-dominated. | 500 | 50 | $0.000261 | $26.10 |
| Chat turnA system prompt plus a few turns of history. | 1,500 | 300 | $0.000914 | $91.35 |
| Document summaryA long document in, a paragraph out. | 20,000 | 800 | $0.009396 | $939.60 |
| Code generationOutput-heavy — where output pricing dominates. | 2,000 | 1,500 | $0.002175 | $217.50 |
Put your own numbers in the cost calculator, or measure a real prompt first in the token counter. If your requests share a stable prefix, the cached rate applies to most of your input — check the structure in the cache checker.
Counting tokens for DeepSeek V4 Pro
DeepSeek does not publish a tokenizer that runs in a browser, so any pre-flight count for DeepSeek V4 Pro is an estimate rather than a measurement.
DeepSeek ships a Hugging Face tokenizer that is not bundled here yet. Counted with o200k_base at parity pending a real browser build.
Treat it as accurate to within roughly ten to twenty percent. That is fine for budgeting and wrong for sizing a prompt right at a context window boundary — where precision matters, use DeepSeek’s own token counting endpoint from your backend. The methodology page sets out every scaling factor used here.
Other DeepSeek models
The tier question: is a cheaper model in the same family enough for your task?
| Model | Input | Output | Context | Chat turn |
|---|---|---|---|---|
| DeepSeek V4 Pro — this page | $0.4350 | $0.8700 | 1M | $0.000914 |
| DeepSeek V4 Flash | $0.1400 | $0.2800 | 1M | $0.000294 |
Alternatives from other providers
Models priced nearest to DeepSeek V4 Pro, not the cheapest on the market — those are the ones actually worth evaluating against it.
Frequently asked questions
- How much does DeepSeek V4 Pro cost?
- $0.4350 per million input tokens and $0.8700 per million output tokens, with cached input at $0.003625 per million. On a typical chat turn of 1,500 input and 300 output tokens that is $0.000914 per request, or $91.35 per month at 100,000 requests. Read from DeepSeek's own documentation on August 3, 2026.
- Can I count DeepSeek V4 Pro tokens exactly?
- No. DeepSeek does not publish a tokenizer that runs in a browser, so any pre-flight count for DeepSeek V4 Pro is an estimate. DeepSeek ships a Hugging Face tokenizer that is not bundled here yet. Counted with o200k_base at parity pending a real browser build. Treat it as accurate to within roughly ten to twenty percent and never as the basis for sizing a prompt right at a context window boundary.
- What is the context window of DeepSeek V4 Pro?
- 1,000,000 tokens. That budget covers everything in the request — system prompt, conversation history, tool definitions, documents — plus the response itself, not just your input.
- Why is output more expensive than input on DeepSeek V4 Pro?
- Output costs 2.0 times input here. Input is processed in a single parallel pass, while output is generated one token at a time with a full pass over the model for each. That is why a model that answers concisely can be cheaper in production than one with a lower headline rate.