DeepSeek R1 — Specifiche
Compiled by Mustafa Ihsan from the vendor’s published documentation · Last updated
| Sviluppatore | DeepSeek |
|---|---|
| Tipo | LLM (MoE, ragionamento) |
| Modalità | Testo → Testo |
| Parametri | 671 miliardi in totale / 37 miliardi attivi (MoE) |
| Finestra contestuale | 128K |
| Licenza | MIT (open) |
| Pesi aperti | Sì |
| Pubblicato | 2025 |
| Prezzo dell’input | $0.50 /1M |
| Prezzo dell’output | $2.15 /1M |
| Provider API | DeepSeek, DeepInfra, OpenRouter |
Esegui localmente
| VRAM (4-bit) | ~400 GB |
|---|---|
| GPU minima | Server multi-GPU |
What is DeepSeek R1?
DeepSeek R1 is the landmark open reasoning model — a 671B mixture-of-experts activating
37B parameters per token, MIT-licensed, with a 128K context window. It delivered
frontier-class chain-of-thought reasoning at a fraction of proprietary cost and is the model
that made open reasoning weights a mainstream option rather than a research curiosity.
Two things follow from the architecture. First, the API is genuinely cheap at $0.50 in /
$2.15 out per million tokens, because only 37B of the 671B parameters are active on any given
token. Second, self-hosting is not cheap at all: the full weights need roughly 400 GB of VRAM
even at 4-bit quantisation, which means a multi-GPU server, not a workstation. The MIT
licence gives you the right to run it, but the hardware bill is what decides whether you
will. For most teams the correct reading is that R1 is an API model that happens to be
auditable and portable — you can move providers, inspect the weights, and never be locked in,
without personally operating an eight-GPU node. If you want R1-style reasoning on hardware
you own, the 70B distill is the model to look at instead.
DeepSeek R1 pricing: API cost per 1M tokens
| Input (per ogni milione di token) | $0.500 |
|---|---|
| Output (per ogni milione di token) | $2.15 |
| Rapporto output/input | 4.3× |
| Combinato (4:1 in:out) | $0.830 per 1 milione di token |
What DeepSeek R1 costs per month
Spesa mensile reale con un mix input-to-output 4:1 — il rapporto effettivamente prodotto da un tipico carico di lavoro basato su chat o RAG.
| Carico di lavoro | Token/mese | Costo/mese |
|---|---|---|
| Progetto secondario | 1 milione in ingresso / 0,25 milioni in uscita | $1.04 |
| Piccolo team | 20 milioni in ingresso / 5 milioni in uscita | $21 |
| Produzione | 200 milioni in ingresso / 50 milioni in uscita | $208 |
Calcola i tuoi numeri personalizzati nel Calcolatore dei costi delle API per l'IA.
Cheaper alternatives to DeepSeek R1
| Modello | Costo combinato ($/1 milione) | Risparmi |
|---|---|---|
| DeepSeek V4-Pro aperta | $0.522 | 37% cheaper |
| DeepSeek V4-Flash aperta | $0.168 | 80% cheaper |
| Llama 4 Maverick aperta | $0.320 | 61% cheaper |
Eseguirlo in autonomia o pagare l’API?
DeepSeek R1 is open-weight, so you can run it yourself. It needs ~400 GB of VRAM at 4-bit (Multi-GPU server). Self-hosting only beats the API once your volume is high enough to keep that hardware busy — the calcolatore self-hosting vs API calcola il punto di pareggio in base al tuo volume di token.
Domande frequenti
How much does DeepSeek R1 cost per 1M tokens?
DeepSeek R1 costs $0.500 per 1M input tokens and $2.15 per 1M output tokens. At a typical 4:1 input-to-output mix that blends to about $0.830 per 1M tokens.
How much does DeepSeek R1 cost per month?
A small-team workload of 20M input and 5M output tokens a month costs about $21 on DeepSeek R1. A side project (1M in / 0.25M out) costs roughly $1.04.
What is a cheaper alternative to DeepSeek R1?
DeepSeek V4-Pro is the strongest cheaper option in our database at $0.522 per 1M blended — about 37% less than DeepSeek R1. It is also open-weight, so self-hosting is an option.
Can I run DeepSeek R1 locally?
Yes. DeepSeek R1 is open-weight and needs about ~400 GB of VRAM at 4-bit quantisation (Multi-GPU server).
Why does DeepSeek R1 charge more for output than input?
Output tokens are generated one at a time and cannot be batched the way a prompt can, so they cost the provider more to serve. DeepSeek R1 charges 4.3× more for output, which is why prompt-heavy workloads are far cheaper to run than generation-heavy ones.
See every DeepSeek model priced side by side: Prezzi dell'API DeepSeek.
I prezzi indicati sono le tariffe ufficiali pubblicate per l'API principale del modello e vengono aggiornati man mano che i fornitori li modificano. Sconti per volumi elevati, elaborazione batch e input memorizzati nella cache non sono inclusi. Confronta tutti i modelli fianco a fianco nel Database di modelli IA o il Classifica LLM.