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DeepSeek: R1

deepseek/deepseek-r1

DeepSeek R1 is here: Performance on par with [OpenAI o1](/openai/o1), but open-sourced and with fully open reasoning tokens. It's 671B parameters in size, with 37B active in an inference pass....

Modalities

TextText

In / out price

$0.7 / $2.5 per 1M

Context

64K

Released

Jan 20, 2025

Why use R1

  • Step-by-step reasoning mode
  • Tool and function calling (agent-ready)
  • Structured (JSON) outputs

Pricing

Input$0.7 / 1M tokens
Output$2.5 / 1M tokens

List prices via OpenRouter, checked daily. Real cost depends on the provider and on reasoning tokens.

How it ranks

Intelligence index11.4
Coding index24.6
Agentic index1.1

Source: Artificial Analysis (artificialanalysis.ai) via OpenRouter (openrouter.ai/rankings).

Cost calculator

Pick a task, set how often you run it, and compare what it costs on each model.

ModelPer runPer monthPer 1,000 runs
DeepSeek: R1$0.0056$5.56$5.56

Estimates from list prices via OpenRouter; real bills vary by provider and reasoning tokens.

Will it fit? Context window simulator

Each square is about one page (500 words). Colored squares are your content; grey squares are free space in the model's context window.

Your content

  • Novel (90,000 words)

Total: about 120,000 tokens (≈ 90,226 words). Token counts are estimates.

Models

DeepSeek: R1

64,000 tokens ≈ 97 pages

Does not fit: needs 1.9× the window. The oldest 47% would be cut off.

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