DeepSeek

DeepSeek R1

Public pricingMedium memoryDeep thinking

DeepSeek R1 is DeepSeek's medium-memory model with deep reasoning. This page shows current pricing, an interactive cost calculator, and a side-by-side with similar models.

Input

$0.55/1M tokens

Output

$2.19/1M tokens

Cached

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Batch

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Interactive

Calculate your DeepSeek R1 bill.

Adjust the workload below and watch the monthly cost update in real time.

What would DeepSeek R1 cost you?

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1,00010,00050,000250,0001M10M

Technical specifications

DeepSeek R1 at a glance.

Memory

128,000

tokens

Max reply

8,192

tokens

Memory tier

Medium

a long report or a codebase file

Tokenizer

deepseek

Released

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Training cutoff

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Availability

Public pricing

Status

active

What it can do

Capabilities & limits.

  • Understands images
  • Deep step-by-step thinking
  • Uses tools / calls functions
  • Strict JSON output
  • Streams replies
  • Fine-tunable on your data

When to pick DeepSeek R1

  • Multi-step reasoning, research agents, or hard math.
  • High-volume workloads where unit cost matters.

When to look elsewhere

  • Your workload involves images — pick a vision-capable model instead.
  • You need tool-use / function calling for agent workflows.

Alternatives

Similar models to compare.

FAQ

DeepSeek R1 — the questions we see most.

Pricing, capabilities, alternatives — generated from the same data that powers the calculator above.

Get instant answers from our AI agent

At a typical workload of 50,000 conversations a month with 1,500-token prompts and 800-token replies, DeepSeek R1 costs roughly $129 per month. Input is $0.55 /1M tokens and output is $2.19 /1M tokens.
DeepSeek R1 has a 128,000-token context window (medium memory — a long report or a codebase file). That means you can fit about 24,000 words of input and history in a single call.
Beyond text generation, DeepSeek R1 supports deep step-by-step reasoning. It streams replies by default.
Models in a similar class include deepseek-r1-distill-llama-8b, DeepSeek V3.2, DeepSeek V3. The "Similar models" section below this FAQ links into each.

Still unsure?

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