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DeepSeek V4.1 Flash: scheda tecnica, prezzi API e dati

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DeepSeek DeepSeek-V4.1-Flash-1017 — scheda illustrata, non una foto del prodotto

DeepSeekAI Models & LLMs

Context window
1M tokens
Maximum output
384k tokens
Input cost per 1M tokens
$0.30
Output cost per 1M tokens
$1.20
Open weights (downloadable)
Yes

You use it and pay per use through the vendor's API, per million tokens: there is no shop. The list prices are in the data sheet below.

Data sheet · DeepSeek V4.1 Flash

Every figure is quoted from the vendor's official page, with the date we read it. If a row is missing, the source does not state it and we do not estimate it.

Memory and answer length

Context window
1M tokensRank 8 of 21
What it means and the source

How much text the model keeps in view in a single request, question and answer included. It matters for long documents and whole code projects. A token is a fragment of a word.

api-docs.deepseek.comOpens the source in a new tab Oct 23, 2026
Maximum output
384k tokensRank 1 of 16
What it means and the source

The longest answer it can write in one go: useful for reports, long code or translations of whole documents.

api-docs.deepseek.comOpens the source in a new tab Oct 23, 2026

API prices

Input cost per 1M tokens
$0.30Rank 3 of 21
What it means and the source

What it costs to have the model read a million tokens (your question, the documents, the code). It is the official list price, before discounts.

api-docs.deepseek.comOpens the source in a new tab Oct 23, 2026
Cached input cost per 1M tokens
$0.006Rank 1 of 20
What it means and the source

The reduced price when part of the request is identical to one sent recently, for example the same instructions or the same document: the vendor keeps it in memory and charges less for it.

api-docs.deepseek.comOpens the source in a new tab Oct 23, 2026
Output cost per 1M tokens
$1.20Rank 3 of 21
What it means and the source

What a million tokens written by the model cost. It usually costs more than the input and is the figure to watch when answers are long.

api-docs.deepseek.comOpens the source in a new tab Oct 23, 2026

Knowledge and abilities

Reads images
Yes13 models out of 23
What it means and the source

The model can take images (photos, screenshots, charts) as well as text.

api-docs.deepseek.comOpens the source in a new tab Oct 23, 2026
Calls tools and functions
Yes12 models out of 23
What it means and the source

The model can call functions and tools (search, calculations, other applications) to take actions and not only write text: it matters for assistants and agents.

api-docs.deepseek.comOpens the source in a new tab Oct 23, 2026

Size and openness

Parameters
763 billion
What it means and the source

The size of the network: how many billions of learned values make it up. Bigger does not necessarily mean better, but it tells how much hardware it takes to run it yourself.

huggingface.coOpens the source in a new tab Oct 23, 2026
Open weights (downloadable)
Yes7 models out of 23
What it means and the source

The model's weights can be downloaded: you can run it on your own servers, adapt it and decide where the data stays, within the licence terms.

huggingface.coOpens the source in a new tab Oct 23, 2026

Hardware to try AI at home

DeepSeek V4.1 Flash: just holding the weights in memory takes about 1,526 GB at 16-bit, 763 GB at 8-bit, 381.5 GB at 4-bit. Beyond 24 GB it is not a home-PC job: using it through an API makes more sense.Worked out from the billions of parameters the vendor states, not a measurement: context and the runtime need more memory.

Questions and answers

DeepSeek V4.1 Flash: how much does it cost through the API?

The official list price is $0.30 per 1M input tokens and $1.20 per 1M output tokens.

DeepSeek V4.1 Flash: how much text can it read at once?

The context window is 1M tokens. It can write answers of up to 384k tokens.

DeepSeek V4.1 Flash: can I run it on my own computer?

Yes, the vendor publishes the model's weights. Parameters: 763 billion. Holding them in memory takes about 381.5 GB at 4-bit; context and the runtime need more memory.

In sintesi

Su DeepSeek V4.1 Flash il dato che conta davvero è Finestra di contesto: 1M. L’ho preso da DeepSeek – Models & Pricing. Fra i 21 che ho controllato, 7 fanno meglio. L’altro numero da guardare è Costo output per 1M token: 1.2.

I numeri di DeepSeek V4.1 Flash

Li ho messi in ordine di importanza, con il valore e la posizione rispetto agli altri che ho controllato.

Finestra di contesto: 1M. Posizione 8 su 21 che ho confrontato.

Costo output per 1M token: 1.2. Posizione 3 su 21 che ho confrontato.

Costo input per 1M token: 0.3. Posizione 3 su 21 che ho confrontato.

Chiama strumenti e funzioni: 1. È il valore migliore fra i 12 che ho confrontato.

Costo input in cache per 1M token (USD): 0.006. Posizione 20 su 20 che ho confrontato.

Legge le immagini: 1. È il valore migliore fra i 13 che ho confrontato.

Subject illustration: Illustrazione di un’applicazione (immagine illustrativa, non una foto del prodotto)
A chi è consigliato

Prendilo se Chiama strumenti e funzioni è la tua priorità: 1, e fra quelli che ho controllato nessuno fa meglio.

Ti conviene se cerchi Legge le immagini: 1.

Guarda altrove se quello che conta per te è Finestra di contesto: qui siamo a 1M, e 7 prodotti fanno meglio.

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Reviews and tests

DeepSeek V4.1 Flash

Reviews and tests · DeepSeek V4.1 Flash

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