DeepSeek R1
DeepSeek R1 ranks in the top 10 on the Arena leaderboard. Context window: 0.128K tokens.
Context
128K
Input
$0.55
Key Specifications
Arena Rank
#3
Context Window
128K
Input Price
per 1M tokens
$0.55
Output Price
per 1M tokens
$2.19
Parameters
671B (37B active)
Open Source
Best For
About DeepSeek R1
DeepSeek R1, developed by DeepSeek, is an open-source reasoning model with 671 billion total parameters (37 billion active) and a 128K token context window. The model uses reinforcement learning to develop chain-of-thought reasoning, solving complex math, coding, and logic problems through step-by-step deliberation. DeepSeek R1 achieved frontier-level performance at a fraction of the training cost of comparable Western models, sparking industry-wide discussion about AI compute efficiency. Its Mixture-of-Experts architecture keeps inference costs manageable despite the massive parameter count. Priced at $0.55 per million input tokens through the DeepSeek API, or free to self-host, it demonstrates that open-source models can compete with proprietary systems on reasoning tasks. DeepSeek R1 ranks #3 on the Chatbot Arena leaderboard, confirming its position among the world's most capable reasoning models.
Pricing per 1M tokens
Input Tokens
$0.55
Output Tokens
$2.19
Compare DeepSeek R1
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