D

DeepSeek R1 Pricing

DeepSeek · Reasoning specialist with step-by-step thinking. Excellent for complex math and

TL;DR
Price: $0.70/1M input · $2.50/1M output
Context: 128K · max 32,768 output
Cost advantage: Up to 70% cheaper than official API
Access: OpenAI-compatible · No credit card · Instant API key

Save up to 70% on DeepSeek R1 API cost

Same model, same quality — pay less per token than the official API. Pay-as-you-go, no credit card required.

From $0.70/1M
input token price
INPUT
$0.70
/1M tokens
OUTPUT
$2.50
/1M tokens
CONTEXT
128K

Other DeepSeek Models

DeepSeek V4 Pro
$0.55 / $2.19
View Pricing
DeepSeek V4 Flash
$0.27 / $1.10
View Pricing
DeepSeek Chat
$0.27 / $1.10
View Pricing
DeepSeek V3.2
$0.23 / $0.34
View Pricing
DeepSeek Coder
$0.14 / $0.28
View Pricing

DeepSeek R1 Pricing Context

Pricing position within DeepSeek

DeepSeek R1 is the most expensive active model from DeepSeek at $0.70/1M input — the premium tier. The cheapest sibling costs $0.23/1M (67% less). Reserve DeepSeek R1 for tasks where its capabilities justify the premium; route bulk traffic to cheaper siblings.

When DeepSeek R1 is worth the cost

DeepSeek R1 is deployed for problems that need structured thinking — math derivations, logic puzzles, scientific analysis, and multi-step research synthesis. The reasoning chain adds latency, so reserve it for tasks where a standard chat model produces shallow or incorrect answers. For routine Q&A and summarization, a cheaper sibling model is more cost-effective.

Cost vs sibling models

What makes DeepSeek R1 different from sibling models: compared to DeepSeek V4 Pro ($0.15/1M cheaper, same 128K context); DeepSeek V4 Flash ($0.43/1M cheaper, same 128K context); DeepSeek Chat ($0.43/1M cheaper, same 128K context). Choose DeepSeek R1 when step-by-step reasoning matters more than speed.

Real-world cost scenarios

Real-world deployments: math problem solving, scientific research synthesis, multi-step logical analysis, and structured decision support systems. DeepSeek R1 excels where standard chat models produce shallow answers — the reasoning chain catches edge cases that faster models miss.

Get DeepSeek R1 API Now

Создать аккаунт
Получить ключ API