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DeepSeek-R1-Zero

DeepSeek · 2025-01-20 · 684.5B parameters

DeepSeek-R1-Zero is the reinforcement-learning-only reasoning checkpoint DeepSeek released alongside DeepSeek-R1 on January 20, 2025: GRPO applied directly to DeepSeek-V3-Base with rule-based accuracy and format rewards and no supervised fine-tuning stage. It shares R1's architecture, and its downloadable checkpoint contains exactly 684,489,845,504 parameters including one multi-token-prediction module, which DeepSeek rounds to 671B total and 37B activated. DeepSeek reports poor readability and language mixing in its outputs, which R1's cold-start and later stages were designed to fix.

Benchmark scores

BenchmarkScore
Aider Polyglot12.2
AlpacaEval 2.0 (length-controlled win rate)24.7
Arena-Hard-Auto v0.153.6
C-Eval92.8
Capability129.2
Chinese SimpleQA66.4
CLUEWSC93.1
CNMO 202488.1
Codeforces - DeepSeek-reported competitor percentile80.4
Codeforces - DeepSeek-reported expected rating1444
DROP89.1
FRAMES82.3
IFEval46.6
LiveCodeBench - August 2024 to February 202550.0
MATH-50095.9
MMLU88.8
MMLU Pro68.9
MMLU-Redux85.6
SimpleQA30.3
SWE-bench Verified43.2
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