Model Terminal

DeepSeek-R1

DeepSeek-R1 is a 671B-parameter mixture-of-experts reasoning model (37B activated per token) released by DeepSeek in January 2025, trained with large-scale reinforcement learning to achieve benchmark-competitive performance on math, coding, and multi-step inference tasks. It is released as open weights and positioned as a cost-efficient alternative to closed frontier reasoning systems such as OpenAI o1. Source: supabase.

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Context
128K
tokens
Max output
tokens
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Capability radar

Identity

Developer
deepseek-ai
Openness
Modalities
Text-generation
Release
2025-01-20
Knowledge cutoff
Deprecation

Benchmarks

  • GPQA71.5 · 2025-01-20 · source

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Pricing

Input / 1M
Output / 1M
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